Overview
In this role you help shape lending decisions across consumer portfolios, owning strategies and driving outcomes. You work hands-on to implement data-driven changes and improve performance, rather than just report results. You collaborate with Decision Scientists and cross-functional teams to leverage predictive models and portfolio insights. Your work translates analytics into actionable lending improvements that support the business goals. This is a data-driven, impact-focused opportunity with clear ownership of credit strategies and stakeholder communication.
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
- Stakeholder influence
- Cross-functional collaboration
- Strong communication of insights
- SQL
- SAS
- Python
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