Model Risk Manager — UK Bank (ML/AI & Data)

Revolut; United Kingdom; On-site; GBP 90,000 - 120,000; Full time

Job summary

Revolut is seeking a Model Risk Manager for its UK Bank to apply ML/AI techniques across diverse business areas. The role involves challenging existing modelling processes, elevating standards, and supporting growth while ensuring models inform decisions, reporting, and regulatory compliance.

The role emphasizes risk-aware modelling across the lifecycle and collaboration with stakeholders at all levels to maintain high standards in risk management and governance.

Qualifications

• 4+ years of experience validating and/or developing market risk, liquidity risk, capital risk, finance, treasury, financial crime, and/or data science models.
• Solid working knowledge of Python and SQL.
• Experience with probability distributions, time series analysis, regression modelling, and Monte Carlo simulations.
• Excellent communication skills and the capacity to work effectively under pressure.
• The ability to operate autonomously and engage confidently with stakeholders at all levels.

Responsibilities

• Contributing to providing key insights on material models to senior management and the Board
• Identifying areas for improvement in modelling processes and methodologies, ensuring models are within our risk appetite
• Supporting the provision of recommendations to model developers to mitigate risk
• Embedding and maintaining model risk management practices across the model lifecycle
• Improving the understanding of model assumptions, limitations, and outputs among senior management

Skills

Python

SQL

Risk modelling

Time series analysis

Monte Carlo simulations

Regression modelling

Job description

Revolut is seeking a Model Risk Manager for its UK Bank to apply ML/AI techniques across diverse business areas. The role involves challenging existing modelling processes, elevating standards, and supporting growth while ensuring models inform decisions, reporting, and regulatory compliance.

The role emphasizes risk-aware modelling across the lifecycle and collaboration with stakeholders at all levels to maintain high standards in risk management and governance.