Use data, analytics, business judgement, governance principles and collaboration to improve credit strategy across the full lifecycle
Work closely with teams across Product, Pricing, Technology, Operations, Distribution, Operations, Collections and L1 and L2 Risk teams
Define and size the problem
Analyse portfolio and process performance
Recommend credit strategy or rule changes
Support implementation and control testing
Monitor results and optimise over time

Experience in credit risk, preferably in retail lending
Strong analytical capability, with the ability to interpret complex data, identify meaningful patterns, and derive insights that inform action
Strong skills in SQL, Python, SAS, Excel, Tableau, or similar tools used for analysis and performance monitoring
Experience working with modern data platforms (for example BigQuery, Snowflake, or similar cloud-based environments)
Ability to translate analysis into clear, practical recommendations that balance customer outcomes, risk appetite, and business performance
Sound understanding of Australian retail credit portfolios, including key segments, performance drivers, and the broader risk landscape
Understanding of core portfolio metrics such as losses, recoveries, provisions, and return outcomes
Strong problem-solving, structured thinking, and collaboration skills, with confidence working across business and risk stakeholders
A curious mindset, strong sense of ownership, and willingness to keep learning and improving
A tertiary qualification in a quantitative, analytical, commercial, legal, technology, or related discipline is valued, or equivalent practical experience.

Credit Risk Manager

Key skills