About the role Own credit risk modelling and portfolio insights for our lending business. Develop and monitor credit risk models, and provide the analytical direction behind our risk reporting and portfolio insights, working closely with the broader risk team. Key responsibilities:
- Develop, calibrate and monitor credit risk models (e.g. scorecards or equivalent) to support lending decisions
- Track model performance over time and recommend redevelopment or recalibration where needed
- Use data-driven analysis to identify portfolio trends, emerging risks and opportunities
- Set the analytical direction and methodology for risk reporting, partnering with colleagues who own reporting delivery
- Evaluate and adopt current tools and techniques (including AI-assisted approaches) to improve modelling efficiency
- Maintain clear documentation of model methodology and assumptions to support internal and external review
- Collaborate with quality assurance and policy colleagues to understand how real-world lending patterns may signal emerging risk
This person has...
- Tertiary qualification in a quantitative discipline such as statistics, mathematics, data science, actuarial studies, finance or economics (preferred)
- Demonstrated experience in credit risk analytics, modelling or portfolio insights within financial services, ideally in lending.
- Hands-on experience developing, calibrating and monitoring credit risk models (e.g. application or behavioural scorecards).
- Experience turning portfolio data into clear, actionable insights for senior management and governance forums.
- Strong proficiency in SQL and at least one analytical programming language (e.g. Python or R) for data analysis and model development.
- Interest in evaluating and adopting new tools and techniques, including AI-assisted modelling and analysis.