DL
QA Lead - Data Reconciliation & Reference Data Analyst
Diverse Lynx India
Location not stated
Staff / Principal
1 month ago
- SQL
- Agile
- Performance Testing
- ETL
1 month ago
We are seeking a detail-oriented QA Lead professional with 10+ years of experience in data reconciliation, reference data management, and financial data validation. The candidate will be responsible for executing reconciliation processes, analyzing data discrepancies, expertise in SQL, supporting GoldenSource-related activities, and ensuring high-quality reference data across various asset management platforms.
Required Skills
• Experience in Data Reconciliation and Data Quality Management.
• Knowledge of Reference Data Management concepts.
• Hands-on experience with Golden Source or similar Master/Reference Data Management platforms.
• Expertise in SQL querying and data analysis skills.
• Understanding of financial instruments, securities, benchmarks, issuers, Com Ref Data and asset management data.
• Experience in investigating data issues, performing root cause analysis, and managing incident tickets.
• Familiarity with enterprise data platforms such as Starburst, OMNI, or equivalent tools.
• Excellent stakeholder communication and reporting skills.
• Strong analytical, problem-solving, and attention-to-detail abilities.
• Should have exposer to handle data quality and reconciliation tools across multiple financial data domains
Preferred Qualifications
• Experience in Capital Markets, Asset Management, Wealth Management, or Investment Banking domains.
• Exposure to any of the reconciliation and data quality tools.
• Knowledge of data governance, data lineage, and data quality frameworks.
• Automation testing experience would be Good to have
• Experience working in Agile delivery environments
Functional Testing
• Develop, review, and execute test cases, test scenarios, and test scripts.
• Perform Functional, Regression, Smoke, Integration, System, and Performance Testing.
• Validate Golden Source Security Master workflows and downstream data distribution.
• Support User Acceptance Testing (UAT) and production validation activities.
• Analyze defects, perform root cause analysis, and coordinate issue resolution with development teams.
Data Validation & Reference Data Testing
• Validate Security Master, Instrument Reference Data, Market Data, and Static Data feeds.
• Execute data quality checks and ensure accuracy, completeness, and consistency of reference data.
• Perform ETL and data migration validation across multiple source systems and downstream consumers.
QA Lead - Data Reconciliation & Reference Data Analyst · Diverse Lynx India