The IT Quality Senior Manager accomplishes results through the management of professional team(s) and department(s). Integrates Retail Risk expertise with software quality testing professionalism and best practices. Expertly trains and cross trains the testing team and ensures quality of technology deliveries with a focus on automation and encourages testing in the development process.
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
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Job Family Group:
Technology
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Job Family:
Technology Quality
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Time Type:
Full time
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