
Lead Quantitative Modeler
2 weeks ago
Key Role
The Quantitative Modelling Analyst will join the Market Risk team within Group Risk to develop and enhance credit risk models that drive strategic decision-making.
About the Key Responsibilities
- Develop, validate, and monitor credit risk models (PD, LGD, EAD, scorecards, and rating models)
- Evaluate models against regulatory and internal governance standards (e.g. IFRS9, Basel, APRA)
- Collaborate with stakeholders across risk, finance, and business units to embed models into key decision-making processes
- Design automated tools and dashboards for model performance tracking and reporting
- Support regulatory submissions and respond to audit and assurance reviews
- Mentor junior colleagues and contribute to knowledge sharing across the team
About You
- Deep understanding of credit risk modelling techniques and regulatory frameworks (IFRS9, Basel, APRA)
- Proficiency in R, SAS, Python, SQL, and Excel
- Strong communication skills, able to explain complex technical concepts to both technical and non-technical audiences
- Intermediate to advanced data visualisation (R, Python or Power BI) and story-telling skills
- A bachelor or postgraduate degree in a quantitative discipline (e.g. Data Science, Econometrics, Actuarial Science, Engineering)
- Passion for mentoring others and driving innovation in risk analytics
- Enthusiasm for modernising modelling workflows by building and migrating tools/processes to a cloud-based analytics platform (Databricks), with a focus on scalability, efficiency, and collaborative development
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