We are Hiring: QA Lead

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 exposure 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.