Job Description
Who we are
At Grant Thornton we’re building something bold. We’re doing things differently – looking to the future, driving ambitious growth and pioneering positive change in our industry. Providing audit, tax and advisory services, we empower clients through strategic insight, curiosity, and genuine partnership. And we empower our people with real opportunity. Our journey from great to exceptional is well underway. With significant investment behind us and a clear strategy for growth, there’s real momentum.
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 (outsourced 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.
Responsibilities
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.
Qualifications
- 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 the 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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