2 of 2 Contract Statistical Modelling Jobs in Knutsford

risk appetite, decision flows, and the criteria for approving, denying, or referring credit applications. Overseeing model development: Work closely with data scientists and credit risk model developers to integrate statistical and machine learning models into the decisioning architecture. This includes models for credit scoring, loss forecasting, and affordability assessments. Ensuring regulatory compliance: Incorporate all relevant regulatory requirements (eg, responsible … customer-facing applications, credit bureaus, and internal data warehouses. Cloud platforms: Familiarity with cloud services (AWS, Azure, GCP) and how they can be leveraged to scale decisioning platforms. Advanced modelling: Expertise in statistical modelling, machine learning, and stress-testing methodologies. Financial acumen: Deep understanding of financial products, the credit life cycle, and the risks associated with lending. More ❯

credit policy into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and machine learning models (credit scoring, loss forecasting, affordability assessments) into decisioning systems. Ensure regulatory compliance : Incorporate responsible lending obligations and other relevant regulations into the framework, ensuring systems … integration of decisioning engines with customer applications, credit bureaus, and internal data sources. Familiarity with cloud platforms (AWS, Azure, GCP) and their use in scaling decisioning systems. Expertise in statistical modelling, machine learning, and stress-testing methodologies. Domain Knowledge Deep understanding of financial products and the credit life cycle. Strong grasp of credit underwriting, affordability metrics, and regulatory More ❯