Interim Artificial Intelligence Internal Auditor in London

Interim Artificial Intelligence Internal Auditor in London

London Full-Time No working from home possible
Grant Thornton

Joining us in Financial Services – Business Risk Services (FS BRS)

Grant Thornton’s Financial Services Business Risk Services (FS BRS) team delivers market‑leading risk, control and governance services to clients across insurance, banking and investment management. We work alongside financial institutions to help them achieve their strategic goals – whether that means navigating new legislation, responding to regulatory change, or adapting their technology and operating models to stay competitive in a rapidly evolving landscape.

Our work spans internal audit (outsource and co‑source), finance and risk management, compliance and technology – giving our people broad exposure to some of the most complex and high‑profile challenges in financial services today.

If you’re an experienced Interim Artificial Intelligence (AI) Internal Auditor who’s tired of choosing between freedom and meaningful work, there’s another route. Within our FS BRS team , you’ll be given the opportunity to take on short‑to‑medium‑term projects that sharpen your expertise, stretch your thinking, and give you a different angle on familiar challenges – all without locking you into a single path.

Skills we are looking for

  • Strong understanding of artificial intelligence and machine learning concepts, including supervised and unsupervised learning, large language models (LLMs), generative AI, and their practical application and associated risks within financial services sector.
  • Proven experience leading and delivering end‑to‑end internal audits.
  • Solid knowledge of AI governance and risk frameworks, including model risk management (MRM) principles, AI lifecycle controls, bias and fairness assessments, and the design and evaluation of oversight and accountability structures for AI systems.
  • Demonstrable experience auditing or reviewing AI and machine learning models, including model validation, explainability, performance monitoring, data quality and integrity, and the adequacy of model documentation and change management processes.

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Grant Thornton

Contact Details:

Grant Thornton Recruitment Team