This is a senior, hands-on technical role focused on the independent validation of high-impact machine learning models across credit risk, financial crime, and advanced behavioural analytics.

You will operate in a highly collaborative environment where analytics is deeply embedded into decision-making and where models are expected to be robust, scalable, and production-ready.

What Youll Be Doing:
In this role, you will take ownership of advanced model validation and quantitative risk analysis:

• Independently validate machine learning models across:
  • Credit risk modelling
  • Customer propensity and behavioural modelling
  • Fraud detection and AML (financial crime) models
• Apply advanced machine learning techniques, including:
  • Supervised learning (XGBoost, CatBoost, Random Forest, and Neural Networks)
  • Unsupervised learning (clustering, anomaly detection...