You will play a key role within a specialist quantitative function responsible for the independent validation and oversight of machine learning and data science models used across the organisation. These models support critical decision‑making in areas such as credit risk, fraud, AML, and customer behaviour.

The role combines deep technical modelling work with leadership responsibilities, including mentoring junior analysts and partnering closely with Risk, Technology, and Business teams to ensure models are robust, scalable, and production‑ready.

Key Responsibilities:

• Lead independent validation of machine learning models, including:
  
  
  
  • Credit risk models
  
  
  • Propensity and behavioural models
  
  
  • Financial crime models (fraud and AML)
  
  
  
  


• Apply advanced machine learning techniques such as:
  
  
  
  • Supervised learning (Random Forest, XGBoost, Cat...