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Job Title: Model Risk Manager - Finance/Treasury
Location: London/Remote
Rate: £750 - £875 per day depending on experience
Duration: Initial Contract until end of the year then extension
Our Fintech payments client is looking for someone to oversee model risk within our finance and treasury functions, ensuring the integrity and reliability of financial models. Candidates will have the chance to engage in AI-specific projects, including model validation, AI security testing, and large language model (LLM) testing. This unique opportunity provides a comprehensive view across all financial and prudential risk reviews, including reserving/provisioning, stress testing, ICAAP, and ILAAP.
Key Responsibilities:
- Oversee and manage model risk within finance and treasury functions.
- Engage in AI-specific projects, including model validation and AI security testing.
- Conduct comprehensive reviews of financial and prudential risks, including reserving/provisioning, stress testing, ICAAP, and ILAAP.
- Collaborate with technical model developers, engineers, and business leaders to ensure robust model risk management.
- Enhance skills and marketability in the evolving finance landscape.
Knowledge and Skills:
- Modeling Expertise: Strong understanding of advanced modeling techniques related to financial balance sheets, loss forecasting, and reserving. Proficiency in CECL and IFRS 9 regulations.
- Risk Management Knowledge: Fundamental grasp of financial and banking risks, including solvency, liquidity, and market risk. Familiarity with stress testing frameworks, risk appetite assessments, and the reserve review process.
- Subject Matter Expertise: Established track record as a Subject Matter Expert (SME) in model risk management (MRM).
- Industry Experience: Multi-year experience within large or sophisticated financial institutions, with significant exposure to financial disclosures and regulatory submissions.
- Stakeholder Engagement: Ability to collaborate with a variety of stakeholders, including technical model developers, engineers, and business leaders.
Qualifications:
- An advanced degree in statistics, mathematics, finance, or economics.
- 5+ years of experience in model risk management or related fields.
If you have the above experience please submit your CV
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