Overview
In this role you shape lending decisions across consumer portfolios and own credit strategies to drive performance. You will work hands-on with data-driven decisions, collaborating with decision scientists and senior stakeholders to influence outcomes. The role emphasizes practical impact over reporting, combining portfolio management, underwriting, and model-informed decisioning. You will solve problems using analytics to optimize credit strategies and support new lending initiatives, within a cross-functional team.
Responsibilities
- Develop and optimise credit strategies across the customer lifecycle
- Investigate portfolio trends, risks and opportunities
- Recommend and implement data-driven changes to improve outcomes
- Support new lending initiatives
- Present clear analysis and recommendations to senior stakeholders
- Use SQL, Python, SAS or similar tools to solve problems and automate processes
- Work with Decision Scientists to get the most from predictive models
- Support junior analysts
- Collaborate with teams across the business
Key requirements
- Degree (or equivalent experience) in a quantitative subject
- Substantial experience in credit risk strategy, portfolio analytics or decision science
- Experience developing credit strategies in consumer lending
- Good understanding of portfolio management and underwriting
- Experience with credit reference agency data and decisioning systems
- Strong SQL skills, with experience in SAS, Python or similar tools
- Ability to influence senior stakeholders with insight
- Strong analytical and problem-solving skills
- influencing senior stakeholders
- analytical thinking
- collaboration
- SQL
- Python
- SAS
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