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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:
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Develop and implement automated data quality checks for real-time and batch trading data.
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Support initiatives related to User Acceptance Testing (UAT) process and product rollout into production.
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Monitor and validate data pipelines for trade execution, pricing models, risk analytics, and post-trade settlement.
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Work with trading desks, quants, and data engineers to identify and resolve data anomalies.
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Build data profiling, lineage tracking, and metadata management solutions to ensure traceability and compliance.
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Integrate data validation rules into CI/CD pipelines, ensuring continuous data reliability in trading applications.
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Conduct root cause analysis for data quality issues and drive corrective actions.
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Ensure compliance with global financial regulations
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Collaborate with DevOps and Cloud teams to optimize data quality solutions in cloud-based environments (AWS, Azure, GCP).
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Leverage AI/ML-based anomaly detection models to proactively detect data inconsistencies.
Key Skills & Qualifications:
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Minimum 4 years of experience in Quality Assurance.
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Strong experience in automation using Java for Backend testing, API testing
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Hands-on experience in automation/tooling using Python
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Proficiency in SQL for data validation and querying large datasets.
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Strong analytical and troubleshooting skills for debugging data quality issues.
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Ability to work in a fast-paced trading environment with cross-functional teams.
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Experience embedding data quality tests in DevOps CI/CD pipelines.
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Experience working in AWS, Azure, or GCP data services is a plus.
Preferred Qualifications:
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Bachelors Degree in Computer Science, Software/Computer Engineering, or a related field.
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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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