Data Quality Engineer (Hybrid)

Overview of the Role

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

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 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.

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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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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.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

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