Find Your Dream Quality Analyst Job in India

About FM:

FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country's talented workforce and advance their capabilities to serve their clients better.

AI Data Quality Analyst II

Job Summary:

The AI Data Quality Analyst II (Human-in-the-Loop) is an individual contributor who combines hands-on review with system-level thinking. This role drives meaningful improvements to AI extraction quality by identifying patterns across large volumes of submissions and translating them into clear engineering requirements and quality metrics.

This position acts as a trusted partner to architects, engineers, and product stakeholders while remaining actively engaged in review work.

Job Responsibilities:

• Independently review and validate edge-heavy AI-extracted data from complex insurance, financial and other un-structured business documents (e.g., text files, claims, property values, loss runs, spreadsheets, PDFs, scanned submissions) for accuracy and compliance with quality standards
• Own quality standards for a defined segment of the AI pipeline (e.g., SOVs or loss runs).
• Identify systemic error patterns and articulate root causes clearly.
• Write high-quality requirements, bug reports, and acceptance criteria.
• Partner closely with engineers to refine extraction logic and workflows.
• Contribute to data quality metrics (accuracy by field, error rates by document type).
• Improve review documentation, guidelines, and QA checklists and mentor junior analysts on quality standards and review techniques.

Skill and Experience:

• 3-5 years of experience required to perform essential job functions
• Additional Experience Qualifier (optional): 3-5 years preferred in data quality, QA, analytics or operational roles
• Experience in Commercial or property insurance
• Familiarity with SQL or querying tools.
• Deep experience validating complex business or financial documents.
• Strong ability to organize and clearly document complex quality observations.
• Advanced Excel and analytical reasoning skills.
• Experience working cross-functionally with engineering and data teams.
• Comfort balancing hands-on work with quality leadership.
• Strong insurance domain knowledge.
• Experience supporting ML or AI production systems.

Must Have Skills:

• 3-5yrs of experience
• Microsoft office, Data Analysis, detail oriented, Extensive testing/QA analysis, strong
• communication skills
• Knowledge must have, experience with below is good to have.
• Experience in Commercial or property insurance
• Familiarity with SOVs, loss runs, or underwriting documentation. Exposure to AI/ML
• systems or Human-in-the-Loop workflows
• Deep experience validating complex business or financial documents.
• Familiarity with SQL or querying tools.
• Advanced Excel and analytical reasoning skills.

Good to Have Skills:

• SQL, AI systems

Education and Certifications:

• 4 Year / Bachelors Degree

Work location: Bengaluru

About FM:

FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country's talented workforce and advance their capabilities to serve their clients better.

AI Data Quality Analyst II

Job Summary:

The AI Data Quality Analyst II (Human-in-the-Loop) is an individual contributor who combines hands-on review with system-level thinking. This role drives meaningful improvements to AI extraction quality by identifying patterns across large volumes of submissions and translating them into clear engineering requirements and quality metrics.

This position acts as a trusted partner to architects, engineers, and product stakeholders while remaining actively engaged in review work.

Job Responsibilities:

• Independently review and validate edge-heavy AI-extracted data from complex insurance, financial and other un-structured business documents (e.g., text files, claims, property values, loss runs, spreadsheets, PDFs, scanned submissions) for accuracy and compliance with quality standards
• Own quality standards for a defined segment of the AI pipeline (e.g., SOVs or loss runs).
• Identify systemic error patterns and articulate root causes clearly.
• Write high-quality requirements, bug reports, and acceptance criteria.
• Partner closely with engineers to refine extraction logic and workflows.
• Contribute to data quality metrics (accuracy by field, error rates by document type).
• Improve review documentation, guidelines, and QA checklists and mentor junior analysts on quality standards and review techniques.

Skill and Experience:

• 3-5 years of experience required to perform essential job functions
• Additional Experience Qualifier (optional): 3-5 years preferred in data quality, QA, analytics or operational roles
• Experience in Commercial or property insurance
• Familiarity with SQL or querying tools.
• Deep experience validating complex business or financial documents.
• Strong ability to organize and clearly document complex quality observations.
• Advanced Excel and analytical reasoning skills.
• Experience working cross-functionally with engineering and data teams.
• Comfort balancing hands-on work with quality leadership.
• Strong insurance domain knowledge.
• Experience supporting ML or AI production systems.

Must Have Skills:

• 3-5yrs of experience
• Microsoft office, Data Analysis, detail oriented, Extensive testing/QA analysis, strong
• communication skills
• Knowledge must have, experience with below is good to have.
• Experience in Commercial or property insurance
• Familiarity with SOVs, loss runs, or underwriting documentation. Exposure to AI/ML
• systems or Human-in-the-Loop workflows
• Deep experience validating complex business or financial documents.
• Familiarity with SQL or querying tools.
• Advanced Excel and analytical reasoning skills.

Good to Have Skills:

• SQL, AI systems

Education and Certifications:

• 4 Year / Bachelors Degree

Work location: Bengaluru

About FM:

FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country's talented workforce and advance their capabilities to serve their clients better.

AI Data Quality Analyst II

Job Summary:

The AI Data Quality Analyst II (Human-in-the-Loop) is an individual contributor who combines hands-on review with system-level thinking. This role drives meaningful improvements to AI extraction quality by identifying patterns across large volumes of submissions and translating them into clear engineering requirements and quality metrics.

This position acts as a trusted partner to architects, engineers, and product stakeholders while remaining actively engaged in review work.

Job Responsibilities:

• Independently review and validate edge-heavy AI-extracted data from complex insurance, financial and other un-structured business documents(e.g., text files, claims, property values, loss runs, spreadsheets, PDFs, scanned submissions) for accuracy and compliance with quality standards
• Own quality standards for a defined segment of the AI pipeline (e.g., SOVs or loss runs).
• Identify systemic error patterns and articulate root causes clearly.
• Write high-quality requirements, bug reports, and acceptance criteria.
• Partner closely with engineers to refine extraction logic and workflows.
• Contribute to data quality metrics (accuracy by field, error rates by document type).
• Improve review documentation, guidelines, and QA checklists and mentor junior analysts on quality standards and review techniques.

Skill and Experience:

• 3-5 years of experience required to perform essential job functions
• Additional Experience Qualifier (optional): 3-5 years preferred in data quality, QA, analytics or operational roles
• Experience in Commercial or property insurance
• Familiarity with SQL or querying tools.
• Deep experience validating complex business or financial documents.
• Strong ability to organize and clearly document complex quality observations.
• Advanced Excel and analytical reasoning skills.
• Experience working cross-functionally with engineering and data teams.
• Comfort balancing hands-on work with quality leadership.
• Strong insurance domain knowledge.
• Experience supporting ML or AI production systems.

Must Have Skills:

• 3-5yrs of experience
• Microsoft office, Data Analysis, detail oriented, Extensive testing/QA analysis, strong
• communication skills
• Knowledge must have, experience with below is good to have.
• Experience in Commercial or property insurance
• Familiarity with SOVs, loss runs, or underwriting documentation. Exposure to AI/ML
• systems or Human-in-the-Loop workflows
• Deep experience validating complex business or financial documents.
• Familiarity with SQL or querying tools.
• Advanced Excel and analytical reasoning skills.

Good to Have Skills:

• SQL, AI systems

Education and Certifications:

• 4 Year / Bachelors Degree

Work location: Bengaluru

About FM:

FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country's talented workforce and advance their capabilities to serve their clients better.

AI Data Quality Analyst II

Job Summary:

The AI Data Quality Analyst II (Human-in-the-Loop) is an individual contributor who combines hands-on review with system-level thinking. This role drives meaningful improvements to AI extraction quality by identifying patterns across large volumes of submissions and translating them into clear engineering requirements and quality metrics.

This position acts as a trusted partner to architects, engineers, and product stakeholders while remaining actively engaged in review work.

Job Responsibilities:

• Independently review and validate edge-heavy AI-extracted data from complex insurance, financial and other un-structured business documents(e.g., text files, claims, property values, loss runs, spreadsheets, PDFs, scanned submissions) for accuracy and compliance with quality standards
• Own quality standards for a defined segment of the AI pipeline (e.g., SOVs or loss runs).
• Identify systemic error patterns and articulate root causes clearly.
• Write high-quality requirements, bug reports, and acceptance criteria.
• Partner closely with engineers to refine extraction logic and workflows.
• Contribute to data quality metrics (accuracy by field, error rates by document type).
• Improve review documentation, guidelines, and QA checklists and mentor junior analysts on quality standards and review techniques.

Skill and Experience:

• 3-5 years of experience required to perform essential job functions
• Additional Experience Qualifier (optional): 3-5 years preferred in data quality, QA, analytics or operational roles
• Experience in Commercial or property insurance
• Familiarity with SQL or querying tools.
• Deep experience validating complex business or financial documents.
• Strong ability to organize and clearly document complex quality observations.
• Advanced Excel and analytical reasoning skills.
• Experience working cross-functionally with engineering and data teams.
• Comfort balancing hands-on work with quality leadership.
• Strong insurance domain knowledge.
• Experience supporting ML or AI production systems.

Must Have Skills:

• 3-5yrs of experience
• Microsoft office, Data Analysis, detail oriented, Extensive testing/QA analysis, strong
• communication skills
• Knowledge must have, experience with below is good to have.
• Experience in Commercial or property insurance
• Familiarity with SOVs, loss runs, or underwriting documentation. Exposure to AI/ML
• systems or Human-in-the-Loop workflows
• Deep experience validating complex business or financial documents.
• Familiarity with SQL or querying tools.
• Advanced Excel and analytical reasoning skills.

Good to Have Skills:

• SQL, AI systems

Education and Certifications:

• 4 Year / Bachelors Degree

Work location: Bengaluru

Job Title: Informatica MDM QA Lead

Company: LumenData

Location: Bangalore

Job Type: Full-Time

Job Description

LumenData is seeking an experienced Informatica MDM QA Lead to join our team in Bangalore, India. The ideal candidate will have strong expertise in Informatica MDM SaaS / Multidomain MDM, data quality validation, integration testing, and end-to-end QA processes for enterprise data management solutions.

The role requires leading QA activities across MDM implementations, ensuring high-quality data integrations, validating match & merge logic, survivorship rules, and coordinating with cross-functional teams in agile delivery environments.

Key Responsibilities

• Lead QA activities for Informatica MDM SaaS / Multidomain MDM implementations and enhancements.
• Design, develop, and execute comprehensive test plans, test cases, and test strategies for MDM projects.
• Validate match & merge rules, survivorship logic, hierarchy management, reference data, and data stewardship workflows.
• Perform functional, integration, regression, system, API, and data validation testing for MDM and IICS applications.
• Validate integrations involving IICS CDI, CDQ, CAI, REST/SOAP APIs, databases, and downstream applications.
• Conduct extensive SQL and backend data validation testing across Oracle, SQL Server, PostgreSQL, or cloud databases.
• Collaborate with business analysts, developers, architects, and data stewards to ensure data quality and business rule compliance.
• Identify, track, and manage defects using tools such as Jira or Azure DevOps.
• Support UAT cycles and coordinate defect resolution with development teams.
• Mentor junior QA engineers and provide technical leadership on testing best practices.
• Participate in agile ceremonies including sprint planning, backlog grooming, and retrospectives.
• Prepare and maintain QA documentation including test execution reports, RTM, defect reports, and quality metrics dashboards.
• Drive automation initiatives for API testing, regression testing, and data validation wherever applicable.

Required Skills & Qualifications

• 8+ years of QA/testing experience with at least 3+ years in Informatica MDM testing.
• Strong hands-on experience in Informatica MDM SaaS or Multidomain MDM.
• Good understanding of MDM concepts including match/merge, survivorship, hierarchies, reference data, and data governance.
• Experience testing integrations involving IICS CDI, CDQ, and CAI.
• Strong expertise in SQL, ETL testing, and backend data validation.
• Experience with API testing using Postman, SOAP UI, or similar tools.
• Knowledge of defect management and test management tools such as Jira, Azure DevOps, HP ALM, or TestRail.
• Strong analytical, debugging, and problem-solving skills.
• Experience working in Agile/Scrum environments.
• Excellent communication, stakeholder management, and coordination skills.

Preferred Qualifications

• Informatica MDM or IICS Certification is a plus.
• Experience with test automation frameworks and scripting using Python or Shell scripting.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Experience leading offshore/onshore QA coordination and release validation activities.

Job Title: Informatica MDM QA Lead

Company: LumenData

Location: Bangalore

Job Type: Full-Time

Job Description

LumenData is seeking an experienced Informatica MDM QA Lead to join our team in Bangalore, India. The ideal candidate will have strong expertise in Informatica MDM SaaS / Multidomain MDM, data quality validation, integration testing, and end-to-end QA processes for enterprise data management solutions.

The role requires leading QA activities across MDM implementations, ensuring high-quality data integrations, validating match & merge logic, survivorship rules, and coordinating with cross-functional teams in agile delivery environments.

Key Responsibilities

• Lead QA activities for Informatica MDM SaaS / Multidomain MDM implementations and enhancements.
• Design, develop, and execute comprehensive test plans, test cases, and test strategies for MDM projects.
• Validate match & merge rules, survivorship logic, hierarchy management, reference data, and data stewardship workflows.
• Perform functional, integration, regression, system, API, and data validation testing for MDM and IICS applications.
• Validate integrations involving IICS CDI, CDQ, CAI, REST/SOAP APIs, databases, and downstream applications.
• Conduct extensive SQL and backend data validation testing across Oracle, SQL Server, PostgreSQL, or cloud databases.
• Collaborate with business analysts, developers, architects, and data stewards to ensure data quality and business rule compliance.
• Identify, track, and manage defects using tools such as Jira or Azure DevOps.
• Support UAT cycles and coordinate defect resolution with development teams.
• Mentor junior QA engineers and provide technical leadership on testing best practices.
• Participate in agile ceremonies including sprint planning, backlog grooming, and retrospectives.
• Prepare and maintain QA documentation including test execution reports, RTM, defect reports, and quality metrics dashboards.
• Drive automation initiatives for API testing, regression testing, and data validation wherever applicable.

Required Skills & Qualifications

• 8+ years of QA/testing experience with at least 3+ years in Informatica MDM testing.
• Strong hands-on experience in Informatica MDM SaaS or Multidomain MDM.
• Good understanding of MDM concepts including match/merge, survivorship, hierarchies, reference data, and data governance.
• Experience testing integrations involving IICS CDI, CDQ, and CAI.
• Strong expertise in SQL, ETL testing, and backend data validation.
• Experience with API testing using Postman, SOAP UI, or similar tools.
• Knowledge of defect management and test management tools such as Jira, Azure DevOps, HP ALM, or TestRail.
• Strong analytical, debugging, and problem-solving skills.
• Experience working in Agile/Scrum environments.
• Excellent communication, stakeholder management, and coordination skills.

Preferred Qualifications

• Informatica MDM or IICS Certification is a plus.
• Experience with test automation frameworks and scripting using Python or Shell scripting.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Experience leading offshore/onshore QA coordination and release validation activities.

Job Description: Data Quality Analyst (CATI Market Research)

Company: Insights Opinion

Position: Data Quality Analyst

Department: Operations/Quality Assurance

Employment Type: Full-time

Position Overview

Insights Opinion is seeking a detail-oriented and analytical Data Quality Analyst to join our CATI (Computer-Assisted Telephone Interviewing) market research team. The successful candidate will be responsible for ensuring the accuracy, completeness, and reliability of data collected through telephone surveys, maintaining the highest standards of data quality and integrity across all research projects.

This role is critical to delivering actionable insights to our clients by ensuring that data collection processes adhere to quality standards, identifying and resolving data issues, and implementing quality control measures throughout the survey lifecycle.

Key Responsibilities:

Data Quality Management

• Monitor and assess data quality throughout the CATI survey process, from fieldwork to final deliverables
• Perform data profiling and validation to identify data quality issues, anomalies, inconsistencies, and missing values
• Conduct regular audits of survey data to ensure accuracy, completeness, and adherence to project specifications
• Implement quality assurance processes to validate data accuracy and completeness at each stage of data collection
• Design and maintain data quality dashboards and metrics to track performance indicators
• Identify and document data quality issues for tracking, escalation, and resolution

CATI Operations Quality Control

• Monitor live CATI interviews through call monitoring and audio audits to ensure interviewer compliance with protocols
• Review survey questionnaires for logical flow, skip patterns, and data capture accuracy
• Conduct spot checks and real-time quality assessments during fieldwork
• Validate quota management and sample distribution to ensure representative data collection
• Ensure interviewers adhere to survey protocols, confidentiality standards, and ethical guidelines
• Coordinate with CATI supervisors and field managers to address quality concerns promptly

Data Analysis and Reporting

• Analyze data sets using SQL, Excel, and statistical tools to identify patterns, trends, and outliers
• Perform root cause analysis to determine sources of data quality errors and recommend corrective actions
• Prepare and present data quality reports, insights, and recommendations to project managers and stakeholders
• Create visualizations and summary reports highlighting data quality metrics and trends
• Track and report on data quality improvement initiatives and their outcomes
• Interpret data quality metrics and provide ongoing performance updates

Process Improvement and Documentation

• Develop and maintain standard operating procedures (SOPs) for data quality checks and validation processes
• Identify opportunities for automating data quality processes and implementing efficiency
• improvements
• Recommend and implement data cleansing and transformation techniques
• Document data quality rules, business definitions, and validation procedures
• Collaborate with IT and research teams to enhance data collection platforms and tools
• Assist in the development and expansion of data quality programs and initiatives

Collaboration and Support

• Work closely with project managers, survey programmers, and data processing teams to ensure data integrity
• Provide training and guidance to CATI interviewers on data quality standards and best practices
• Respond to data quality queries and support troubleshooting efforts across projects
• Participate in project kick-off meetings to understand client requirements and quality expectations
• Liaise with clients when necessary to clarify data requirements and resolve quality issues

Required Qualifications:-

• Bachelor's degree in Statistics, Data Science, Market Research, Social Sciences, Computer Science, or related quantitative field
• 1-3 years of experience in data quality analysis, market research operations, or CATI surveys
• Proven experience with telephone survey methodologies and CATI platforms
• Experience conducting data quality audits and implementing quality control processes
• Familiarity with survey research methods and primary data collection procedures
• Proficiency in SQL for data querying, extraction, and validation
• Advanced Microsoft Excel skills including pivot tables, VLOOKUP, and analysis
• Knowledge of statistical analysis and data quality metrics
• Understanding of data cleaning, transformation, and validation techniques
• Familiarity with CATI survey platforms and call monitoring systems
• Strong analytical and problem-solving abilities with attention to detail
• Excellent numerical and logical reasoning skills
• Ability to identify patterns, trends, and anomalies in large datasets
• Critical thinking and ability to determine root causes of data quality issues
• Excellent written and verbal communication skills
• Ability to present complex data quality insights in a clear and understandable manner
• Strong interpersonal skills for collaborating with cross-functional teams
• Ability to provide constructive feedback and training to field staff
• Highly detail-oriented and organized with strong time management skills
• Results-focused with ability to work under tight deadlines
• Proactive and self-motivated with strong sense of ownership
• Adaptable and able to manage multiple projects simultaneously
• Commitment to maintaining confidentiality and data security
• Experience with healthcare market research or patient data analysis
• Understanding of international data collection standards and multi-country survey projects

What We Offer

• Competitive salary and benefits package
• Opportunity to work with leading healthcare and market research clients
• Professional development and training opportunities
• Collaborative and supportive work environment
• Career growth potential within a growing research organization

Insights Opinion is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title: Quality Analyst Manager – Call Center (Telesales)

Organization: Chandigarh University

Location: Gharuan, Mohali, Punjab

Employment Type: Full-Time | Permanent

Work Mode: On-site

Shift: Day Shift (9.30 to 5.30)

Salary: hike on last

Role Overview

We are looking for an experienced and performance-driven Quality Analyst Manager to lead the quality function for telesales operations. The role involves managing a team of Quality Analysts, ensuring adherence to quality standards, and driving continuous improvement through structured audits, feedback, and coaching. The ideal candidate should have strong leadership skills and a data-driven approach to quality management.

Key Responsibilities

1. Quality Management & Call Auditing

• Oversee and manage inbound and outbound call auditing processes
• Ensure adherence to quality standards, compliance policies, and sales scripts
• Review and validate audit scores to maintain consistency and accuracy
• Monitor key quality KPIs and drive performance improvement initiatives

2. Team Leadership & Development

• Manage and lead a team of 5 Quality Analysts to ensure high

Job Description: Data Quality Analyst (CATI Market Research)

Company: Insights Opinion

Position: Data Quality Analyst

Department: Operations/Quality Assurance

Employment Type: Full-time

Position Overview

Insights Opinion is seeking a detail-oriented and analytical Data Quality Analyst to join our CATI (Computer-Assisted Telephone Interviewing) market research team. The successful candidate will be responsible for ensuring the accuracy, completeness, and reliability of data collected through telephone surveys, maintaining the highest standards of data quality and integrity across all research projects.

This role is critical to delivering actionable insights to our clients by ensuring that data collection processes adhere to quality standards, identifying and resolving data issues, and implementing quality control measures throughout the survey lifecycle.

Key Responsibilities:

Data Quality Management

• Monitor and assess data quality throughout the CATI survey process, from fieldwork to final deliverables
• Perform data profiling and validation to identify data quality issues, anomalies, inconsistencies, and missing values
• Conduct regular audits of survey data to ensure accuracy, completeness, and adherence to project specifications
• Implement quality assurance processes to validate data accuracy and completeness at

We are looking for Quality Analyst professionals with 2 year of experience specializing in auditing calls/ CHATs and sharing feedback.

Job Description:

• Analyze and verify customer accounts as per available data
• Monitor calls on client provided guidelines
• Provide feedback to front line agents to prevent errors from occurring in the future
• Technical troubleshoot knowledge related to customer’s services issue
• Serve as a subject matter expert on client’s business rules, customer interaction policies and support tools

Basic Requirements:

• Good communication and interpersonal skills – verbal and written (fluency in English and comprehension ability)
• Strong team player who exhibits patience as well as the ability to help team members
• Must be reliable in terms of attendance
• Professional behavior, appearance, and communication skills
• Basic knowledge of Excel and computer applications
• Good at preparing RCA (Root Cause Analysis) and identify trends to provide feedback
• Ability to adapt to frequent changes as per business requirement
• Flexible outlook to adjust to 24x7 shifts – ability to work in teams and in rotational US
• shifts
• Ability of analyze information, evaluate results, and choose the best solutions to resolve
• problems
• Ability to quickly and efficiently assimil

About Eqvista

Eqvista is an integrated SaaS system that helps companies to manage private company equity by minimizing costs by automation, accounting, sharing and compliance tools built into the system. We also provide an array of valuation services for helping founders find their valuation for fundraising and ESOP issuance (409a)

Please visit: to learn more about our company.

For more open position, please visit:

We are seeking a detail-oriented AI Data Quality Analyst to ensure the accuracy and integrity of data used and produced by our AI systems. This role involves validating various types of documents and datasets by cross-checking them against AI outputs to maintain reliable, trustworthy, and high-quality data for AI model training and decision-making purposes.

Key Responsibilities:

• Verify and validate data from diverse document types against AI system outputs for accuracy and consistency.
• Perform detailed data audits and check for discrepancies or mismatches between source data and AI results.
• Collaborate with AI model developers, data specialists and research analysts to address and resolve data quality issues.
• Maintain documentation of data validation processes, anomalies detected, and corrective actions taken.
• Use data quality and validation tools to streamline and automate validation workflows.
• Ensure compliance with internal da