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Individuals in Issue Management are responsible for the coordination and comprehensive management of issues with key stakeholders, such that Citi achieves and maintains compliance and appropriately remediates findings from internal and external reviews as well as self-identified issues. Includes coordinating with key stakeholders to investigate controls gaps or failures, develop corrective action plans, and provide robust challenge enabling the key stakeholders to implement sustainable solutions by addressing root causes and adopting enhanced discipline including consideration of lessons learned for the timely closure of issues. As the Issue Management team advances its use of AI and large language models within the Issue Management Lifecycle, dedicated business‑side expertise is essential to connect technical model development with governance, risk controls, and operational readiness. This role ensures that AI solutions are designed, documented, evaluated, and implemented in a responsible and compliant manner.
Job Responsibility:
Assist in the coordination and comprehensive management of issues with key stakeholders
Support issue quality reviews ensuring compliance with Issue Management Policy, Standards and Procedures
Facilitate Business / Function Quality Control engagement across the full lifecycle of high impact issue remediations and key remediation programs
Maintain a robust tracking and reporting issue inventory including issue quality metrics to provide visibility on the status of control gaps and Issues quality control processes highlighting risk and escalating concerns in timely manner
Provide challenge enabling the key stakeholders to implement sustainable solutions to address root causes
Utilize analytics to assess issue remediation trends, identify key risks, and develop insights for process improvement
Support identification and analysis of potential control gaps and operational risks across Citi, leveraging data analysis to assess impact
Support key stakeholders to develop corrective action plans to address identified control gaps or failures
Incorporate lessons learned guidance into the development of corrective action plans, promoting continuous improvement and timely closure of issues
Ensure compliance with all relevant regulatory requirements and internal policies
Partner with internal audit, business units, and senior management, communicating effectively to drive issue resolution, influence decision-making, and promote a culture of risk awareness
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of teams and create accountability with those who fail to maintain these standards
Serve as the business lead for applying industry‑standard model governance practices to AI and machine learning solutions
Lead the development and maintenance of technical and risk documentation, including model overviews, assumptions, limitations, risk controls, and testing evidence
Translate complex AI/ML model concepts into clear, structured business documentation suitable for risk, compliance, and audit review
Partner with data science and engineering teams to understand model behavior and testing results
Review technical test outputs related to model performance, bias detection, drift analysis, and robustness
Identify potential risks and ensure appropriate mitigants, controls, and monitoring plans are in place
Act as the primary business interface for AI model‑related conversations involving technology, risk, compliance, and operations teams
Provide guidance to project teams on required documentation, checkpoints, and evidence needed to progress through the AI development and deployment lifecycle
Support lifecycle activities including model onboarding, updates, annual reviews, and monitoring
Stay current on emerging AI risks, regulatory developments, model validation practices, and responsible AI principles
Provide business partners with guidance on AI governance best practices, model risk considerations, and documentation requirements
Requirements:
Minimum of 6-10 years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry
Ability to identify, measure, and manage key risks and controls
Strong knowledge in the development and execution for controls
Proven experience in control related functions in the financial industry
Proven experience in implementing sustainable solutions and improving processes
Understanding of compliance laws, rules, regulations, and best practices
Understanding of Citi’s Policies, Standards, and Procedures
Strong analytical skills to evaluate complex risk and control activities and processes
Strong verbal and written communication skills, with a demonstrated ability to engage at the senior management level
Strong problem-solving and decision-making skills
Ability to manage multiple tasks and priorities
Proficiency in Microsoft Office suite, particularly Excel, PowerPoint, and Word