The International Consumer Bank (ICB) Risk Modelling team is responsible for developing statistical and machine learning models to reduce fraud and credit risk within ICB. The team also engages with external vendors and supports the onboarding of vendor models, including working through Model Governance to obtain appropriate approvals for different uses. The team executes and prepares model surveillance while providing insights for various regulatory requirements.

As an Applied AI Machine Learning Vice President in the ICB Risk Modelling team, you will play a crucial role in analysing business problems and managing and developing machine learning models used to mitigate fraud risk within ICB. You will work closely with product owners, risk officers, data engineers, software engineers, and external vendors to ensure models perform effectively and meet the firm's standards. The primary focus will be on identity verification fraud, where you will lead efforts to adopt and impleme...