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Join us as an "AI Governance Analyst " in the Model Risk ManagementTeam , The Model Risk Management (MRM) is a function reporting directly to the Group Chief Risk Officer and responsible for the identification, assessment, monitoring and management of model risk within Barclays. To be a Successful "AI Governance Analyst" the ideal candidate would be supporting various aspects of AI governance/operating model, including the development and implementation of AI policies and standards, the creation and maintenance of the AI inventory, overseeing the AI tiering, establishing the production use guardrails, coordinating cross-functional AI risk assessments, supporting Generative AI proof-of-concepts, and contributing to the governance meetings.
Job Responsibility:
Support the development, implementation and maintenance of AIML Policies and Standards, the AI inventory, oversight of AI Risk tiering, co-ordination of cross-functional AI risk assessments, supporting Generative AI proof-of-concepts, and governance
Maintain and support the adoption of AIML Policies and Standards across the organisation
Develop and enhance the AIML operating model programme
Creation and maintenance of of the AIML system inventory
Co-ordination of comprehensive AI risk assessments and implementation of effective mitigation strategies
Support governance of AIML Risks including attendance at forums and working group
End-to-end support for Generative AI proof-of-concepts, from initial use case intake and review to final approval
Monitoring of AI systems tp ensure operation within effective guardrails and controls, collaborating with Legal and Compliance teams to ensure regulatory compliance
Develop and conduct training programmes to educate employees gobally on governance and ethical use of AI
Continuously enhance the bank's AI governance framework through engagement in AI technology and governance advances
Requirements:
A bachelor’s degree or a master’s degree in a financial or technical field
Demonstrated experience in oversight and governance of AI models at an enterprise level
Proven ability to implement, and oversee the governance frameworks and policies
Investigative skills with the capability to identify key risks and areas of non-conformance with regulatory and legislative requirements and lack of controls, identify root cases, themes, and trends
Familiarity with the key regulatory frameworks and standards relevant to AI use in the financial industry, such as EU AI Act, NIST guidelines, and the ability to apply these in a practical context
Excellent analytical or and problem-solving skills, proven in complex and dynamic settings
An innovative mindset, capable of proposing effective solutions to control issues identified
Nice to have:
A postgraduate degree in a financial or technical field
A relevant professional experience, with a significant portion dedicated to AI or model risk management/ model validation, monitoring
An in-depth understanding of AI technology including the risks, benefits, ethical implications, and the development of a governance operating model
A proven track record in AI or governance experience, encompassing business, risk and technical acumen
Prior experience in conformance or related functions and understanding of control testing
Familiarity with AI ethics, bias detection, and responsible AI practices
Ability to work in a high performing team, and the ability to work and liaise with others in a diverse team
What we offer:
Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations