The Independent Risk Management (IRM) Regulatory Risk Independent Quality Assurance (IQA) Team is responsible for providing objective and independent assessments of the design, implementation, and effectiveness of controls supporting the organization's Data Risk Management Framework, Data Governance Program, and related regulatory commitments. The team evaluates whether data risk management activities, remediation initiatives, and transformation programs are executed in accordance with established policies, standards, regulatory requirements, and risk management expectations.
Individuals within Quality Assurance, Monitoring & Testing are responsible for independently assessing outcomes from data-related processes, controls, and Book of Work (BoW) initiatives to determine adherence to applicable requirements and the effectiveness of risk mitigation efforts. This includes evaluating the quality, sustainability, and completeness of data governance deliverables, issue remediation activities, and risk reduction programs through structured testing, ongoing monitoring, and control validation.
This role requires a strong understanding of Enterprise Data Governance, Data Risk Management, Risk and Control Frameworks, Data Risk Taxonomy, and Regulatory Expectations related to Data Management and Governance. The successful candidate will possess deep subject matter expertise in Data Governance, Data Quality, Data Lineage, Data Policy Development, Control Design and Effectiveness Testing, Issue Management, and Regulatory Remediation Programs, along with the ability to independently evaluate complex data transformation and risk reduction initiatives.
Responsibilities:
- Demonstrated experience and strong working knowledge of Data Operating Model practices, Data Governance, Data Management, Data Risk Management, and Data Compliance frameworks within large, complex financial services organizations.
- Strong understanding of the Enterprise Data Governance Strategy, Data Risk and Control Framework, Data Risk Taxonomy, Data Policies, Standards, and related regulatory expectations.
- Deep subject matter expertise in Data Governance, Data Policy Development, Data Ownership, Data Stewardship, and Data Accountability frameworks.
- Experience developing, challenging, and assessing Data Quality Controls, including the design, implementation, and validation of data quality rules, thresholds, monitoring, and reporting capabilities that improve the accuracy, completeness, timeliness, and integrity of critical data.
- Conduct independent reviews and quality assurance assessments of Data Book of Work (BoW) initiatives, remediation programs, and data risk management activities to evaluate adherence to governance requirements and achievement of intended risk reduction outcomes.
- Review and challenge management's documentation, evidence, and control implementation to assess the effectiveness, sustainability, and completeness of data governance and data risk remediation efforts.
Qualifications:
- 12+ years of experience within Banking, Financial Services, Risk Management, Data Governance, or Regulatory Compliance functions, including 6-10 years of management and leadership experience.
- Exceptional communication and stakeholder management skills, with the ability to effectively influence, challenge, and build consensus across senior management, business, risk, technology, and governance partners.
- Strong organizational, analytical, and problem-solving skills, with the ability to manage multiple reviews and priorities in a dynamic, regulatory-driven environment.
Strong Knowledge of:- Data Lineage, including end-to-end traceability from System of Record through data transformations, redistribution layers, reporting platforms, and downstream consumption points.
- Data Flow Architecture, including understanding of Systems of Record, Authorized Redistributors, Licensed Applications, and data movement across the enterprise.
- Data Transformation Logic and Calculations, including assessment of business rules, aggregation methodologies, and data derivation processes.
- Critical Data Elements (CDEs), including identification methodologies, business rationale, governance requirements, and risk-based prioritization.
- Data Quality Management, including data quality dimensions, control design, business requirements, exception management, and quality-rule effectiveness testing.
- Data Governance Requirements, including data ownership, stewardship, metadata management, lineage, controls, and governance operating models.
- Data Lifecycle Management, including data at rest, data in motion, retention, protection, and monitoring requirements.
- Data Service Level Agreements, data feed controls, data sourcing requirements, and monitoring of upstream and downstream data dependencies.
- Understanding of the characteristics that define governed data, including ownership, authoritative sourcing, lineage, quality controls, metadata standards, and regulatory applicability.
- Experience performing risk-based testing, control effectiveness reviews, and independent quality assurance assessments of Data Governance, Data Quality, and Data Risk Management controls.
Education:
Bachelor's/University degree, Master's degree preferred.
Job Family Group: Controls Governance & Oversight
Job Family:Quality Assurance, Monitoring & Testing
Time Type:Full time
Primary Location Full Time Salary Range:$141,600.00 - $212,400.00
Most Relevant Skills Analytical Thinking, Assurance Strategy, Constructive Debate, Controls Assessment, Controls Lifecycle, Digital Skills (Including AI), Policy, Procedure, and Regulation, Risk Remediation, Stakeholder Management.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
This job opening is for an existing job vacancy.
