Citi Group Data Quality Engineer Hybrid 

Canada, Ontario 

185048463

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 inYou 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.

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 4 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 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.

Time Type:

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