CTU Global Operating Model - AI Risk and Controls Lead

The AI Risk and Controls Lead is responsible for the Controls Testing Utility’s (CTU) strategy and operating model for managing operational and compliance risks associated with CTU’s development and deployment of AI tools and providing advice on CTU’s testing of First Line Unit (FLU) controls that utilize AI.   The AI Risk and Controls Lead reports to the CTU Head of Global MT Operating Model based in London within the COO’s Central Controls Capabilities organization. It is a strategic, execution-oriented role that is focused on designing and implementing CTU’s AI risk management strategy. This will involve the development, design and implementation of CTU’s operating model for assessing the operational and compliance risks associated with the use of AI in CTU’s testing activities and FLUs’ use of AI in the design and operation of key controls, the development of AI risk and control guidance and delivery of training to CTU staff and wider stakeholders. The role will also be responsible for developing and delivering governance materials to various governance forums to cascade requirements and expectations for the development and deployment of AI that aligns with Citi policy and applicable laws, rules and regulations. Coverage may vary to meet internal and external deliverables. The AI Risk and Controls Lead will be part of a team of 14 staff that are responsible for the design, development and implementation of CTU’s Global MT Operation model, which is focused on the management of compliance and operational risks associated with CTU’s cross-border execution of M&T. The position closely follows the key regulatory requirements and operational risks associated with the execution of control testing and determines an appropriate strategy for managing risks on behalf of the CTU organization. The role will require engagement with senior managers at Director or Managing Director levels. Excellent management and communication skills are required to negotiate internally, often at a senior level and with Business and COO stakeholders. Strong communication and diplomacy skills are required to guide and influence others, particularly colleagues in other areas and occasional external customers. The individual will be accountable for advice on the design of AI use cases and supporting controls, and controls testing execution by CTU teams. The role necessitates a degree of responsibility over technical strategy and responsibility for supporting the CTU Head of Global MT Operation Model on handling staff management issues, including resource management and allocation of work within the team/project.

Define, develop and implement CTU’s strategy for the identification of operational and compliance risks associated with the development and deployment of AI solutions for use as part of CTU’s control testing activities. Support CTU in the development and deployment of AI use cases that deliver improved process efficiency by identifying value-added solutions to the management of operational and compliance risks associated with the use of AI. Take ownership to identify, analyse, and assess potential risks, ensuring timely identification and remediation of significant control issues and operational events. Coordination with AI use case development teams within the Central Controls Capabilities organization to identify risks and advise on effective and efficient control solutions and risk mitigation measures. Develop and deliver guidance and supporting training materials and governance materials to ensure awareness of requirements for the management of risk associated with the development, deployment and use of AI tools by CTU staff. Stay up-to-date on latest developments in AI tooling at Citi through participation in pilots, AI forums, and trainings. Drive continuous improvements in accuracy, efficiency, timeliness, and quality of MCA control testing by enabling the use of AI tools within testing.