Quick overview
Job description
Our client is a UK lender with a data-led approach to decision making.
The role
You will lead the development and implementation of credit decisioning models, owning the full model lifecycle from problem definition through to deployment and monitoring. Working with colleagues across the business, you will help improve the quality, speed and effectiveness of lending decisions.
Key responsibilities
- Develop and deploy machine learning and statistical models covering credit risk, affordability and pricing
- Own the end-to-end modelling lifecycle, from data preparation through to deployment and monitoring
- Build monitoring frameworks and dashboards to assess model performance
- Explore new data sources, challenger models and experimentation techniques
- Translate analytical outputs into clear, actionable insights
- Work with Risk, Product and Technology teams to embed models into lending processes
About you
- Strong experience developing machine learning models within lending
- Must have - Python and SQL
- Proven experience owning the full model development lifecycle
- Experience in an automated credit decisioning environment
- Good understanding of UK credit risk principles and regulatory requirements
- Ability to communicate technical concepts clearly to technical and commercial audiences
Desirable: experience in model governance and validation.
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