Find Your Dream Research Job in India

Research Engineer - Battery Modeling

Position Overview

QpiVolta Technologies is seeking a Research Engineer to work on accelerating battery modeling

through advanced Machine Learning techniques. The ideal candidate will have a strong background in both computational chemistry and machine learning, with experience in

multi-scale modeling of materials and interfaces.

Key Responsibilities

Develop and implement machine learning models for battery material interface and

transport phenomena.

Integrate multi-scale modeling approaches spanning quantum chemistry, molecular

dynamics, and continuum models.

Apply and fine-tune ML force fields for accurate materials simulation.

Contribute to the development of battery design and optimization workflows.

Collaborate with interdisciplinary teams on battery modeling projects.

Required Qualifications

Master's degree in Chemistry, Materials Science, Chemical Engineering, Mathematics,

Physics, or a related field.

Experience applying Large Language Models in Scientific Domains

Strong background in computational modeling at multiple scales:

Density Functional Theory (DFT)

Molecular Dynamics (MD)

Coarse-grained modeling

Continuum modeling

Experience with relevant software tools:

LAMMPS for molecular dynamics simulations

DFT software packages (e.g., VASP, Quantum ESPRESSO, or similar)

PyBaMM, Battery Design Studio (Python Battery Mathematical Modelling)

Battery design software tools

Technical Skills

Demonstrated experience in:

Machine learning model development and implementation

Force field development and fine-tuning

Integration of multi-scale modeling approaches

Python programming and scientific computing libraries

Version control systems (e.g., Git)

Battery Modeling Workflow Experience

Proficiency in electrochemical modeling workflows:

P2D (pseudo-two-dimensional) models for cell-level simulation

SPM (single particle model) for simplified cell analysis

Newman model implementation and modification

Electrode-scale transport phenomena modeling

Familiarity with multi-physics coupling approaches:

Thermal-electrochemical coupling

Mechanical-electrochemical coupling

Aging mechanisms integration

Experience with automated workflow tools:

Battery parameter estimation pipelines

Materials screening workflows

Automated DFT calculation setup

High-throughput simulation management

Understanding of different modeling scales:

Atomistic simulations for interface phenomena

Mesoscale modeling for particle interactions

Cell-level performance prediction

Pack-level thermal and electrical behavior

Preferred Qualifications

Previous research experience in battery materials or electrochemistry

Publications or contributions to papers/open source in relevant fields

Experience with high-performance computing environments

Knowledge of electrochemical characterization techniques

Required Competencies

Strong analytical and problem-solving skills

Excellent programming and data analysis capabilities

Ability to work independently and as part of a team

Strong written and verbal communication skills

Strong programming skills preferably in Python

Experience with scientific documentation and technical writing

Project Focus Areas

Battery material interface modeling

Transport phenomena simulation

Stability analysis across multiple scales

ML-accelerated materials discovery

Integration of quantum, molecular, and continuum approaches

Workflow optimization and automation

Research Scientist / Research Engineer - Optimization & Ising Systems

We are building new optimization algorithms inspired by physics and field-theoretic ideas, designed to work with Ising machines, quantum annealers, and classical solvers.

This role focuses on algorithm design and experimentation, not just using existing tools. You'll work on QUBO/Ising formulations, post-processing and refinement layers, and the interaction between algorithms and annealing-style hardware.

What you'll work on

• Designing and implementing physics-inspired optimization algorithms

• Post-processing and refinement methods for Ising machines and annealers

• Experimenting with energy landscapes, uncertainty, population statistics, and annealing dynamics

• Benchmarking across classical simulators and specialized hardware

• Writing research-quality code (Python and/or C++)

Background we're looking for

You might come from:

• Applied mathematics

• Physics (theoretical, computational, or statistical)

• Quantum computing / quantum information

• Algorithms-heavy computer science

Strong intuition and problem-solving ability matter more than labels.

Required skills

• Good mathematical foundation (linear algebra, probability, optimization)

• Comfort with energy-based models (Ising, QUBO, loss landscapes)

• Solid programming skills (Python and/or C++)

• Ability to reason about algorithms beyond black-box usage

Nice to have

• Experience with annealing methods, Monte Carlo techniques, or Ising models

• Exposure to quantum annealers or Ising machines (hardware or simulators)

• Research or R&D experience in optimization or computational physics

What this role is not

• Not a gate-based quantum circuits role

• Not an SDK-only "run experiments" role

• Not purely academic theory

This is hands-on algorithmic research with real system

Job Description

Position: Scientist / Research Associate - In Vitro Screening & Functional Assays

Location: Vapi, Gujarat

Company: Nuvo Labs Pvt. Ltd. (Meril Life Sciences Group)

About the Role

Nuvo Labs Pvt. Ltd. is seeking a highly motivated scientist/research associate to support in vitro screening and functional characterization of therapeutic antibodies and drug molecules. The candidate will contribute to high-throughput screening, cell-based functional assays, and biochemical characterization to support antibody discovery and lead candidate selection in drug discovery programs.

Key Responsibilities

In Vitro Screening & Functional Assays

• Design and execute high-throughput and medium-throughput screening assays for monoclonal and bispecific antibodies.
• Develop and perform cell-based functional assays, including:
• Receptor binding and signaling assays
• Reporter assays
• Cytokine release assays
• Immune cell activation assays
• ADCC / ADCP assays

Antibody Characterization

• Perform binding and affinity characterization using techniques such as:
• ELISA
• Flow Cytometry
• Other biochemical and immunological assays

Drug Discovery Support

• Screen antibody and drug molecule panels to support lead candidate identification and selection.
• Analyze experimental data and prepare scientific reports to support internal research programs.

Required Technical Skills

Candidates should have strong hands-on experience in:

• Mammalian cell culture techniques
• Biochemical assays, including:
• Western Blotting
• Immunoprecipitation
• Molecular biology techniques, including:
• RNA processing
• qPCR
• ddPCR
• Cloning

Preferred Qualifications

• M.Sc. / M.Tech / PhD in Biotechnology, Molecular Biology, Biochemistry, Life Sciences, or related field
• Experience working in antibody discovery, immunology, or drug discovery laboratories
• Familiarity with flow cytometry and functional immune assays is highly desirable.

Key Competencies

• Strong experimental and analytical skills
• Ability to design and optimize biological assays
• Strong documentation and scientific reporting skills
• Ability to work in a collaborative research environment

Designation: Intern - Data Specialist / Web Researcher

Department: upGrad GSP (Global Study Partner)

Location: Remote/Work From Home

Internship Duration: 3 months

Stipend: 15,000/month

Shift Details: Mon - Fri

Role Summary:

Responsible for collecting, verifying, and updating academic course information from international university websites and accurately entering the data into the company's CRM system to support student admissions and counselling processes.

Key Responsibilities:

• Research and collect course information from official international university websites.

• Upload and maintain accurate course data in the CRM database.

• Enter detailed academic information including:

o Course descriptions

o Intake periods

o Campus locations

o Tuition fees

o Scholarships and funding options

o Admission requirements

o English language requirements (IELTS, TOEFL, etc.)

o Program duration and study level

• Update additional program details such as:

o Application links and admission information

o Career outcomes

o Orientation and enrolment details

o Internship availability

o Professional recognitions

• Maintain structured data fields such as CRICOS codes, campuses, scholarships, intakes, and eligibility requirements.

• Ensure all data entered in the CRM is accurate, updated, and consistent with university sources.

• Regularly review university websites for new programs, changes in entry requirements, and updated scholarships.

• Support admissions and counselling teams by maintaining a reliable and organized program database.

• Coordinate with internal teams to ensure the CRM contains complete and upto-date course information.

Skills & Competencies:

• Strong online research skills

• Attention to data accuracy and detail

• Experience with CRM or database management systems

Company Description

Nexera Chem is an advanced materials startup developing next-generation cathode formulations to strengthen India's energy security. Emerging from stealth with a robust synthesis platform and full-suite electrochemical capabilities, we utilize a proprietary process to engineer LFP cathode materials. This is an on-site role based in New Delhi; you will be an integral part of a fast-paced, rapidly scaling startup!

Role Description

We are looking for a hands-on R&D Scientist to design, build, and scale our cathode formulations. Reporting directly to the Founder, you will own critical product development decisions and take our formulations from the kilo-scale to the pilot line.

In this role, you will gain unparalleled, end-to-end exposure from scaling formulations and processes, collaborating across teams, and working directly with cell manufacturers for material qualification.

What you will do

• Determine LFP cathode development strategy and identify specific chemical and process design features to build competitive formulations on kilo-scale
• Critically evaluate and refine our synthesis protocols to engineer LFP with superior physical properties, morphology, and electrochemical characteristics.
• Develop and rigorously test new hypotheses based on cutting-edge literature.
• Execute and interpret analytical characterization results - including XRD, SEM, BET, TEM, and PSA - to drive rapid product iteration.
• Lead hands-on experiments from end-to-end, from precursor preparation, active material synthesis, physical & cell testing development, and reviewing and drawing from the results.
• Translate complex end-application requirements directly into material design parameters.
• Design and execute sophisticated Design of Experiments (DoE) to optimize formulations, utilizing experimental results.
• Lean, Evaluate and experiment with mechanical routes for scaling up powder production.
• Develop the technical roadmap for transitioning our LFP cathode manufacturing system from batch operations to continuous mode pilot scale.

What You Bring

• Ph.D. in Material Science, Solid-State Chemistry, or a closely related deep-tech discipline.
• Experience with battery cathode material synthesis
• 1 - 2+ years of hands-on experience in powder processing, slurry handling, or advanced material manufacturing.
• Hands-on experience with the electrochemical testing (coin / pouch cell development) and root-cause troubleshooting
• Strong ability to decipher XRD, SEM, TEM, BET, and XPS characterization data to drive iterative material development
• Functioning independently with limited supervision and thrive in the high-ambiguity environment.
• Understanding of powder processing techniques such as wet milling, drying, calcination

How to apply: Apply via Linkedin or email your resume at

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

About Forage AI: Forage AI delivers large-scale data collection and processing platforms, including web crawlers, document parsers, data pipelines, AI/Agentic Solutions, and AI-assisted workflows.

Our primary programming language is Python. We design both cloud-native and cloud-agnostic solutions, primarily on AWS, while also working with GCP and Azure. We value high ownership, strong collaboration, and pragmatic, well-documented engineering.

Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Research Data Analyst.

Key Responsibilities:

• Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
• Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
• Assist our AI and RPA models by manually parsing data to help derive insights for automation.
• Interpret and understand client requirements for every project and execute it per the defined rules.
• Perform annotations to help train our ML models.
• Direct and monitor progress and performance of the team.
• Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
• Respond to client inquiries related to ongoing projects.
• Research and troubleshoot issues associated with data and/or tools provided.
• Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
• Assist in documentation and continual improvements of SOP's for internal workflows.
• Prepare tools and reports that measure and evaluate team accuracy and productivity.
• Assist in planning and allocation of daily work queues.
• Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
• Manage ETAs and deliverables by coordinating with different teams working remotely.
• Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
• Conduct process training sessions for new members of a team or project.

Required Qualifications:

• Must at least have a bachelor's degree in any stream.
• 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
• Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
• Demonstrated experience in building and QA'ing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
• Experience in operations or data-intensive roles, involving:

Data audits and quality checks

Process documentation and SOP creation

Root cause analysis and issue resolution

• Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
• Excellent communication skills - able to simplify complex financial concepts for internal and external stakeholders.
• Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
• Working knowledge of SQL for data extraction, transformations, and QC workflows.
• Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
• Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
• Experience in mentoring and training fellow team members in the process.
• Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
• Ability to work with changing requirements, shifting client priorities, and evolving datasets - strong change management skills required.
• Must be a team player, proactive collaborator, and someone comfortable guiding junior team members.
• A quick learner who is tech-savvy, enjoys working with structured/unstructured data, and adapts quickly to new tools.
• Ability to work in flexible or variable shifts based on project deadlines and client requirements.

Work from Home Requirements:

• High speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB+ RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

Head - Clinical Research Department

Qualification:

An MBBS graduate with professional experience of min 08 years in the field

The Lead Scientist of Clinical Research will provide oversight, leadership, and guidance in the management and execution of clinical research. He/She will work collaboratively with the executives to establish research priorities and assess organizational processes associated with clinical research, create a research program and execute it timely and efficiently.

Key Responsibilities:

• Planning and overseeing the trial and ensure timely and budgetary completion
• Determining whether a product and trial design accomplishes the goal for which it was produced
• Ensuring the product meets all government regulations and standards
• Develop operating procedures and ensure that the entire research team follows those procedures.
• Create good overall guidelines for clinical research and ensure that the guidelines are followed
• Foster a culture and environment of innovative clinical research excellence through the development of research teams and translational research projects.
• Work closely and collaboratively with multidisciplinary VMRC teams and CROs.
• Present progress reports and strategies to upper level management.
• Be responsible for assuring the strategic vision, direction and manageme

Elevate Your Impact Through Innovation & Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.

With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making.

We have 5,000+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific.

Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

About Corporate and Investment Banking & Investment Research (CIB & IR)

As a global leader in knowledge processes, research, and analytics, you’ll be working with a team that specializes in global market research, working with the top-rated investment research organizations, bulge bracket investment banks, and leading asset managers. We cater to 8 of the top 10 global banks, working alongside their product and sector teams, supporting them

Job Title: Executive Search Consultant Trainee

Location: New Delhi

About Us:

We are a fast-growing Executive Search and Recruitment Consulting firm committed to connecting top-tier talent with exceptional opportunities. Our dedicated team ensures seamless hiring experiences for our clients across industries.

Role Overview:

We are seeking an Intern to join our dynamic team and contribute to various facets of the recruitment.

Key Responsibilities:

• Collaborate with the consulting team to prepare engaging and accurate job descriptions.
• Post job advertisements on various online platforms.
• Screen candidates’ resumes to identify suitable matches for open roles.
• Coordinate and schedule interviews with candidates and hiring managers.
• Assist in conducting background checks and verifying references.
• Conduct market research to identify industry trends and insights.
• Support talent mapping initiatives to build robust candidate pipelines.
• Maintain and update records in the recruitment database and systems.
• Assist in client acquisition through research and cold calling.

Qualifications:

• Graduate or Post-Graduate from a reputed college/university.
• Strong communication and organizational skills.
• Proficient in MS Office and familiar with on

Position Name - Portfolio Manager/Quant Researcher

Location - Bengaluru/Dubai

Experience Range - 3+years

Mandatory Requirement:

• Manage leveraged futures portfolio (NQ, GC) on IBKR

• Execute monthly rebalances, quarterly rolls, margin monitoring

• Maintain and improve backtesting framework (Python)

Job Roles and Responsibilities:

Research & Strategy Development (60-80 hrs/month):

• Evaluate new asset classes for portfolio inclusion (BTC futures, crude, bonds)

• Research optimal leverage levels, rebalancing frequencies, allocation splits

• Build and maintain risk dashboards and automated alerting

• Analyze options overlay strategies (covered calls on futures, tail hedges)

• Monitor macro regime signals (vol regimes, yield curve, cross-asset correlations)

• Produce weekly portfolio reports with attribution analysis

Broader Investment Support (40-60 hrs/month):

• Support due diligence on fund investments (AlphaGrep, First Water, etc.)

• Build financial models for deal evaluation (Criteo, etc.)

• Screen and analyze equity positions (TPAK portfolio, stock research)

• Monitor and optimize the options strategies (vol gra

The Opportunity

The Chandler Governance Group (CGG) is hiring a full-time Deputy Director (Data Analytics and Research) to lead the research and development of indices and other data-centric tools to promote high performance government around the world. The candidate will report to the Director (Knowledge). This role may be performed in Singapore, or remotely from any location globally. 

Key Responsibilities

• Lead the research and development of selected new indices and other data-centric tools
• Leverage new technologies, particularly AI, to build indices and data tools
• Engage project stakeholders, partners, advisors and experts
• Manage project budgets and timelines; recruit and manage adjunct researchers

Experience and Qualifications  

• Advanced degree in Statistics, Data Science, Mathematics, or equivalent programme with a focus on statistical methods
• At least 8 to 15 years of experience, including at least 3-5 years leading projects or teams, and 3-5 years working in the public sector or in multilateral organisations like the UN or World Bank.
• Experience in using AI effectively to develop indices and data tools is a key requirement

Skills and Aptitudes

• Exceptional intellectual agility, able to quickly understand unfamiliar topics and domain areas in public policy, and identi

Role Description

• Strong secondary research capabilities: To collect information related to electricity balance in a country which include capacity, generation, import, export, T&D losses, demand / consumption etc.
• Primary research: To collect information and insights from key industry stakeholders.
• Perform market sizing for power sector
• Understand and be able to do market segmentation
• Ability to perform market forecasting for power sector using statistical tools.
• To analyse the information and provide logical conclusions or findings.
• Develop industry expertise, lead/assist consulting projects as and when required.
• Pick and track trends in the sector, build deep insights and competitive landscape for leading companies across the industry value chain.

Core Skills Required

• Forecasting and experience in statistical tools.
• Secondary and primary research.
• Knowledge of power sector industry will be an added advantage.
• Well-honed research skills and the ability to uncover unique insights.
• Broad and well-developed analytical skills.
• Proficiency in Microsoft Word, Excel, and PowerPoint.

Required:

Minimum 2 Years Experience and Btech/Mtech in Mechanical/Electrical/Electronics/civil is required.

Job Title : Equity Research Associate

Location : Bangalore (Onsite)

Start Date : March 2026

We are seeking an Equity Research Associate to analyze and evaluate businesses in India.

What You Will Work On:

• You will be a generalist researching a variety of business models with great emphasis on primary research and industry conversations.
• In your first year, you will dig through multiple public and private businesses in India to help build your knowledge base and our team’s research on high-quality businesses.
• You will work on diverse companies across industries ranging from green hydrogen to fast fashion to microfinance.

The Best Candidates Will Have:

• Deep intellectual curiosity and an ability to ask thoughtful questions about business models.
• Winning mentality and self-belief to take on any business in any sector and figure out the key drivers and risks.
• Mental + physical stamina to work long hours and manage several projects per month.
• Commitment to their own development and to the firm’s ambition over time.

Eligibility:

• A degree in Business, Economics, or related fields is preferred.
• BONUS points if you have prior equity research or investing experience.

Are you passionate about shaping India’s global trade narrative through data, research, and policy insights? We are looking for a seasoned professional to join our Research & Statistics team in Mumbai.

Designation: Manager/Senior Manager

Location: Mumbai, BKC

Department: Research & Statistics

Experience Required - 10years

Key Responsibilities:

Strategic Reporting & Documentation

• Lead the development of high-impact strategic reports and policy recommendations on international trade, including exports, imports, FTAs, NTBs, WTO negotiations, and global trade dynamics..
• Provide advisory support to senior leadership and government bodies on trade policy formulation and export promotion strategies.
• Drive long-term research agendas aligned with national trade priorities and sectoral growth..

Trade Performance Monitoring & Data Analysis

• Oversee design and implementation of advanced analytics frameworks for export-import performance tracking and forecasting.
• Provide strategic insights through trend analysis, predictive modeling, and sectoral deep-dives (Gems & Jewellery, Gold, etc.).
• Ensure development of dynamic dashboards and MIS systems for real-time decision-making.

Policy Support & Sectoral Coordination

• Lead in-depth research

• Position Title - Head – Consumer Insights & Research
• Location – Bengaluru Corporate Office ( Work from Office only)
• Total Experience - 12 to 18 Years (Minimum in Similar Role)
• Qualification - MBA ( Full Time is compulsory )
• Reporting to the Head of Marketing.
• Direct Reporting - 1
• Languages Known- English & Hindi
• Industry- FMCG /FMCD /Consumer Goods /FMEG

Key Responsibilities: -

Core Consumer Insights & Intelligence

• Act as the central point for all consumer and market intelligence across brands and categories
• Frame business questions into structured insight and research problems
• Deliver actionable insights on consumer behavior, needs, attitudes, and purchase drivers

Research & Analysis

• Lead end-to-end primary and secondary research programs (quantitative and qualitative)
• Ensure methodological rigor, clarity of interpretation, and decision-ready outputs
• Drive post-campaign, post-launch, and post-initiative evaluations to close learning loops

Data Integration & Insight Synthesis

• Integrate insights from household panels, retail audits, e-commerce data, internal sales and performance data, and syndicated sources (Nielsen, IQVIA, Kantar, etc.)
• Estab

Employment Type : Full Time

Location : Remote

Experience : Business Research, Strategy, Consulting, or Market Analysis Roles

Company Description

Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Our product suite includes Auriga for conversational AI, Collatio for document intelligence, and Concentio for cognitive IoT and operational intelligence. These platforms help clients convert complex, fragmented data into actionable enterprise intelligence.

We are looking for a Research Associate – Business Strategy to support strategic initiatives, conduct in-depth market research, and provide insights that drive business growth and competitive positioning across Scry AI’s product suite.

Role Overview

As a Research Associate – Business Strategy at Scry AI, you will work closely with leadership, product, and marketing teams to analyze markets, identify opportunities, and support strategic decision-making. You will be responsible for conducting research, synthesizing insights, and translating data into actionable recommendations that influence business direction.

This role is ideal for someone who is analytical, curious, and comfortable working with data, trends, and strategic frameworks in a fast-paced, techn

We are seeking highly skilled and innovative Lead AI Research Engineers with 4-5 years of experience specializing in Generative AI for image, video, or 3d applications to join our dynamic team. Your expertise in AI, computer vision, and image processing will be instrumental in advancing our technology products and pushing the boundaries of generative AI. This is an exciting opportunity to work at the forefront of AI product development and contribute to ground-breaking advancements in the field.

B.Tech / M.Tech / Phd in Computer Science / Artificial Intelligence, Electronics / Signal Processing, etc. from a reputed institute, college, or university with relevant industry work experience. Multiple positions open at different levels of seniority depending on Qualifications, Experience Level, and Competency Bar. Ideal candidates will have

• Ability to independently conceptualize, design, implement, and scale AI product solutions.
• Ability to break down product requirements into executable ML tasks.
• Some Experience in mentoring other team members.
• History of authoring peer-reviewed publications.

• Stay up-to-date with the latest advancements in computer vision, deep learning, and generative AI for image, video, or 3d applications.
• Collaborate with cross-functional teams to understand requirements, identify research &

Responsibilities

• Plan, design, and execute experiments in the R&D pilot plant.
• Perform metallurgical reaction balancing and process-related calculations.
• Analyze, interpret, and manage experimental and plant trial data.
• Demonstrate and explain plant trial procedures to production team.
• Support plant trials, scale-up activities, and technology transfer to production.
• Collect, analyze, and interpret operating data from plant trials.
• Coordinate with Production, QA/QC, Marketing, Procurement, and Maintenance teams.
• Assist in process optimization, troubleshooting, and continuous improvement initiatives.
• Maintain accurate technical documentation, reports, and records.
• Conduct SOP and safety training for operating personnel in the R&D pilot plant.

Qualifications

• B. Tech / B.E. /M Tech/M.E. in Metallurgy and Materials Engineering.

Preferred Skills

• Strong aptitude and interest in R&D-based process development.
• Strong fundamentals in Process Metallurgy and Physical Metallurgy.
• Sound understanding of metallurgical thermodynamics and kinetics.
• Proficiency in slag–metal reactions and process chemistry.
• Practical knowledge of phase diagrams and Ellingham diagrams.
• Experience in data interpretation and root cause analysis.
• Working

Who are we?

Trendlyne is a company in the financial markets space. As a Series-A funded, profitable products startup, we're redefining how companies and individual investors navigate stock markets and mutual funds. Our secret? Cutting-edge analytics and transaction products that are powerful and easy to use.

.

Our founders are IIT + IIM graduates, with strong tech, analytics, and marketing experience. We are a funded startup with top finance and management people on the Board of Directors. We count major financial firms and brokerages among our customers.

What do we do?

We build powerful analytics in the stock market space that are best in class. Organic growth in B2B and B2C products have already made the company profitable. Every month, we deliver over one billion APIs to our B2B partners, alongside running a popular B2C website with 2 million+ monthly active users, and a mobile app with over one million downloads.

Want to see us in action? Explore trendlyne.com or download the Trendlyne mobile app on the Google Play/Apple Store.

Google Play Store:

Apple Store:

We are a great place to work

Imagine a place where your work genuinely makes a difference, where you're building something amazing. That's Trendlyne. We foster a culture of growth and support, offering full-time employees:

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  Trendlyne.com

  

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