IT Quality Senior Manager - C13 – PUNE

Role Overview:

As a Data Quality Engineering Lead (Global Markets) in the Markets Division of a leading global bank, you will ensure the accuracy, consistency, and reliability of data across trading, risk management, regulatory reporting, and financial analytics systems worldwide.

This role requires strong domain expertise in capital markets, trading systems, risk analytics, and global regulatory compliance. You will work with cross-functional teams across multiple geographies (APAC, EMEA, NAM) to establish enterprise-wide data quality frameworks that enhance trading operations, support risk mitigation, and ensure compliance with regional and global financial regulations.

Your work will directly impact the bank’s ability to manage financial risk, optimize trading strategies, and meet the stringent requirements of regulatory bodies across different markets.

Key Responsibilities:

• Develop and enforce global data quality frameworks for front and back office systems supporting multi-asset class trading.
• 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.
• Provide thought leadership in data observability, automated testing, and cloud-based data quality solutions.

Experience: 

• Minimum 12 years of IT Testing experience required.

Technical Expertise:

• Proficiency in Java, SQL for data quality automation and testing. Working experience in Python is a plus.

• DevOps & Automation: Experience embedding data quality checks into DevOps CI/CD pipelines.
• Experience working in AWS, Azure, or GCP data services.
• Experience with data quality tools (such as Great Expectations, Monte Carlo, Talend, Collibra, Informatica DQ) is a plus.
• Experience with big data platforms (such as Snowflake, Databricks, Spark, Hadoop) is a plus.
• Experience with data pipeline orchestration tools (such as Airflow, DBT, Prefect) 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

Why Join Us?

• Work at a global scale: Collaborate with teams across APAC, EMEA, and NAM in a leading investment bank.
• Lead data quality initiatives that drive regulatory compliance, risk mitigation, and market efficiency.
• Engage with cutting-edge trading technology and AI-driven data quality automation.
• Shape the future of data governance in an era of high-frequency trading and real-time analytics.