About the roleRisk at Revolut operates across all functions, products, and regions to monitor front-line performance and ensure the business operates safely. They're among the first to be involved in new initiatives, from tech to customer support.
We're looking for a Model Risk Manager to ensure our automated decision-making tools, from credit underwriting to AML detection and financial forecasting, are robust, compliant, and performing as intended.
You'll be a key member of the local risk function and custodian of the model and AI risk framework, in line with regulatory expectations and group standards.
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What you'll be doing- Executing end-to-end technical validations of complex models, assessing conceptual soundness, data integrity, and performance outcomes
- Localizing global MRM frameworks to ensure strict compliance with US-specific regulations, including SR 11-7 and Fair Lending requirements
- Providing effective second-line challenges to model owners and developers, identifying potential biases, limitations, and model decay
- Maintaining the US model inventory, ensuring models are identified, risk-rated, and tracked throughout their lifecycle
- Setting and monitoring model risk appetite metrics, and preparing high-level reports for local risk committees and executive leadership
- Collaborating with Data Science and Product teams to ensure model risk practices are integrated into the development lifecycle without stifling innovation
- Assisting in the design and maintenance of model risk policies, ensuring validation documentation is audit-ready for state and federal regulators
What you'll need- 8+ years of experience in model risk management (MRM) or model validation
- A quantitative background with the ability to understand machine learning, AI, and traditional econometric models
- Expertise with SQL and Python to independently replicate model results and perform sensitivity testing
- Familiarity with US regulatory expectations for model risk, specifically SR 11-7 and OCC 2011-12
- The ability to provide sophisticated, independent challenges to model assumptions and methodologies
- Experience balancing rapid product deployment with rigorous risk oversight
- Advanced analytical skills with the ability to leverage data to identify emerging risks
- Exceptional report-writing skills to translate complex mathematical concepts into clear, actionable insights for non-technical executives
Nice to have- A master's or PhD in a quantitative field (statistics, finance, mathematics, physics, or economics)
- Experience in a high-growth banking, fintech, or payments environment
- Relevant certifications, such as Financial Risk Manager (FRM) or CFA
Compensation range- US: $162,000 - $180,000 gross annually*
- Other locations: Compensation will be discussed during the interview process
*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience
