Data Quality Analyst: Controls & Governance

Data Quality Analyst: Controls & Governance

Full-Time 35000 - 42000 £ / year (est.) No working from home possible
Citigroup, Inc.

At a Glance

  • Tasks: Ensure data quality by monitoring controls and investigating exceptions.
  • Company: Join Citigroup Inc., a leader in financial services with a focus on governance.
  • Benefits: Enjoy competitive pay, health benefits, and opportunities for professional growth.
  • Other info: Collaborate across teams to enhance data governance and risk management.
  • Why this job: Make a real impact on data-driven decisions in a dynamic environment.
  • Qualifications: Experience with SQL and a keen eye for detail.

The predicted salary is between 35000 - 42000 £ per year.

Citigroup Inc. is seeking a Data Quality Analyst to oversee the data quality lifecycle across supervisory and transaction monitoring controls. You will identify critical data elements, build monitoring rules, investigate exceptions, and report on control effectiveness to ensure reliable data-driven decisions. The role sits at Citi’s governance and risk interface with cross-functional collaboration.

Responsibilities include:

  • Conducting SQL-driven data reviews
  • Monitoring exceptions

Data Quality Analyst: Controls & Governance employer: Citigroup, Inc.

Citi London is an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. With a competitive salary, generous annual leave, and a hybrid working model, employees enjoy a healthy work-life balance while having access to extensive learning and development resources. As a key player in the Equity Derivatives Technology team, you will have the opportunity to lead impactful projects and grow your career within a globally recognised financial institution.

Citigroup, Inc.

Contact Details:

Citigroup, Inc. Recruitment Team

We think you need these skills to ace Data Quality Analyst: Controls & Governance

Data Quality Management
SQL
Data Analysis
Monitoring Rules Development
Exception Investigation
Control Effectiveness Reporting
Cross-Functional Collaboration