**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. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Technology Quality ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.