Senior Associate-Front Office QA Engineer

Lead data validation and regression testing across capital-markets data pipelines, ensuring high data quality through source-to-target checks and automation.

Build, maintain, and integrate Python/SQL-based automated validation frameworks and regression packs for legacy and cloud data platforms.

Collaborate with engineering and business teams to embed strong data-quality controls and identify data anomalies across post-trade workflows and fixed income instruments.

5–7 years of hands-on experience in Data QA, Data Engineering QA, or Python-based automation roles.

Basic capital markets domain knowledge with expertise in Fixed Income products and workflows.

Strong skills in Python, SQL (complex queries and stored procedures), and automation-first regression testing frameworks; working knowledge of PySpark.

Experience with CI/CD tools (Azure DevOps, Jenkins, GitLab) and batch orchestration tools (AutoSys, Control-M, or Airflow).

Experienced in validating large-scale data pipelines and post-trade capital markets data including derivatives, bonds, and fixed income.

Practitioner of automation-first testing approach with ability to translate complex business and trade workflows into repeatable validation scripts.

Comfortable working in agile environments with defect management tools (JIRA/XRay) and integrating automated tests into deployment pipelines.