Role Overview:
As a IT Quality Senior Manager, you will ensure the accuracy, consistency, and reliability of data across trading, risk management, regulatory reporting, and financial analytics systems. You will work with cross-functional teams across multiple to establish enterprise-wide data quality frameworks that enhance trading operations, support risk mitigation, and ensure compliance with regional and global financial regulations.
Key Responsibilities:
- Develop and enforce global data quality frameworks for front and back office systems supporting multi-asset class trading.
- Provide thought leadership in data observability, automated testing, and cloud-based data quality solutions.
- Manage the overall testing deliverable by ensuring correct test planning and estimation, driving test automation, proactively identifying and highlighting risks to various stakeholders a senior management and suggesting mitigation plans to ensure timely delivery of high quality output.
- Ensure data integrity across global trading platforms, pricing models, risk engines, and regulatory compliance systems.
- Implement automated data validation for real-time market data, trade transactions, and post-trade analytics.
- Collaborate with trading desks, quants, risk, and compliance teams across different time zones to resolve data anomalies.
- Work closely with data engineering and DevOps teams to embed data quality checks in CI/CD pipelines for front-office trading applications.
- Define and monitor key data quality metrics (accuracy, completeness, consistency, timeliness) across global financial systems.
- Establish data lineage, metadata management, and governance frameworks for high-quality regulatory reporting.
- Ensure compliance with global and regional regulatory frameworks
- Lead initiatives on AI/ML-based data anomaly detection, improving real-time insights for market risk and pricing data.
Experience:
- Minimum 12 years of IT Testing experience required.
Technical Expertise:
- Proficiency in Java and SQL for automation and data validation. Working experience in Python is a plus.
- Knowledge in embedding quality checks into CI/CD pipelines.
- Experience working in AWS, Azure, or GCP data services is a plus.
- Experienced in testing data validation, transformation (i.e., ETL), and migration.
- Knowledge with data quality tools (such as Great Expectations, Monte Carlo, Talend, Collibra, Informatica DQ) is a plus.
Soft Skills:
- Ability to manage global stakeholders, including traders, Quants, Risk Managers, and compliance teams across multiple regions.
- Strong problem-solving and decision-making skills in a fast-paced trading environment.
Education:
- Bachelor's/University degree, Master's degree preferred
Technology Quality
Time Type:
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