Role Overview:

As a Data Quality Engineer in the Global Markets division of a leading investment bank, you will ensure the integrity, accuracy, and consistency of data across critical trading, risk, and compliance systems.

This role requires a technical mindset with strong hands-on skills in data validation and testing automation. You will work closely with trading technology teams, quants, risk management, and data engineering to implement data quality solutions that ensure high-fidelity financial data for decision-making and regulatory compliance.

Your work will directly impact the bank’s ability to execute trades effectively, manage risk efficiently, and comply with financial regulations globally.

Key Responsibilities:

• Develop and implement automated data quality checks for real-time and batch trading data.
• Support initiatives related to User Acceptance Testing (UAT) process and product rollout into production.
• Monitor and validate data pipelines for trade execution, pricing models, risk analytics, and post-trade settlement.
• Work with trading desks, quants, and data engineers to identify and resolve data anomalies.
• Build data profiling, lineage tracking, and metadata management solutions to ensure traceability and compliance.
• Integrate data validation rules into CI/CD pipelines, ensuring continuous data reliability in trading applications.
• Conduct root cause analysis for data quality issues and drive corrective actions.
• Ensure compliance with global financial regulations
• Collaborate with DevOps and Cloud teams to optimize data quality solutions in cloud-based environments (AWS, Azure, GCP).
• Leverage AI/ML-based anomaly detection models to proactively detect data inconsistencies.

Key Skills & Qualifications:

• Minimum 8 years of experience in Quality Assurance.
• Strong experience in automation using Java for Backend testing, API testing
• Hands-on experience in automation/tooling using Python
• Proficiency in SQL for data validation and querying large datasets.
• Strong analytical and troubleshooting skills for debugging data quality issues.
• Ability to work in a fast-paced trading environment with cross-functional and global teams.
• Experience embedding data quality tests in DevOps CI/CD pipelines.
• Experience working in AWS, Azure, or GCP data services is a plus.

Preferred Qualifications:

• Bachelors Degree in Computer Science, Software/Computer Engineering, or a related field.