IT Quality Sr (Automation Java ) - C12 - PUNE

Role: Data Quality Engineer (Global Markets)

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, testing automation, and governance frameworks. You will work closely with trading technology teams, quants, risk management, and data engineering to implement automated 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.
• 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, including:
  • Basel III & FRTB (Risk & Capital Requirements)
  • MiFID II & EMIR (European Trading & Reporting Standards)
  • Dodd-Frank & CCAR (US 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:

• At least 5 years of experience in Data Quality Engineering, Data Governance, or Data Testing within a global banking or capital markets environment.
• Strong understanding of trading data structures, market data, and financial instruments across asset classes (Equities, Fixed Income, FX, Derivatives, Commodities).
• Knowledge of risk metrics and trade lifecycle processes in investment banking.
• Experience with financial market data providers such as Bloomberg, Reuters, and ICE.
• Proficiency in SQL for data validation and querying large datasets.
• Hands-on experience with Python or Java for data quality automation.
• Experience with data quality tools such as Great Expectations, Monte Carlo, Talend, Collibra, or Informatica DQ.
• Exposure to big data platforms such as Snowflake, Databricks, Spark, and Hadoop.
• Experience with data pipeline orchestration tools such as Airflow, DBT, or Prefect.
• Experience embedding data quality tests in DevOps CI/CD pipelines.
• Experience working with cloud data services on AWS, Azure, or GCP.
• Strong analytical and troubleshooting skills for debugging data quality issues.
• Ability to work in a fast-paced trading environment with cross-functional teams.

Preferred Qualifications:

• Experience with real-time market data validation and anomaly detection.
• Knowledge of regulatory reporting standards such as BCBS 239, Volcker Rule, and IFRS 9.
• Exposure to data observability tools like Datafold, Soda, or Bigeye.
• Experience with Kafka, Kinesis, or other real-time streaming technologies for market data validation.

Why Join Us?

• Work on high-impact financial data pipelines powering global trading operations.
• Collaborate with top-tier engineers, quants, and traders in a cutting-edge financial environment.
• Gain exposure to AI-driven data validation and anomaly detection in real-time markets.
• Be part of a global financial institution with opportunities for career growth and leadership development.

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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