Job Description
- Sydney, Brisbane or Melbourne
- Market leading daily-rate on offer
- Hybrid working environment
Senior Credit Risk Modeller – IFRS 9 (PD/LGD/EAD)
Sydney, Brisbane or Melbourne | Hybrid | Leading financial services group
Are you a credit risk modelling specialist who enjoys solving complex problems, challenging assumptions and delivering models that genuinely influence portfolio outcomes?
An exciting opportunity is available for an experienced IFRS 9 Modeller to play a key role in managing and enhancing predictive credit risk models across major portfolios, supporting provisioning and regulatory compliance.
This role sits within a high-performing analytics team where technical rigour, governance, and real-world application come together — and where your work will directly support critical decision-making at group level. You will do this by joining a collegiate team responsible for supporting the IFRS 9 re-build project.
This is an initial 8 month daily-rate contract with the possibility of extension or to be transferred onto one of many other long-term contracts to support multiple Credit Risk initiatives across the institution.
Responsibilities:
- Deliver predictive modelling and analytics supporting IFRS 9 provisions
- Own and enhance key PD, LGD and EAD models, including model performance monitoring
- Ensure models meet governance standards and align to regulatory and internal policy requirements
- Execute validation activities, monitoring, recalibration and documentation
- Drive continuous improvement by researching new methodologies and challenging existing approaches
- Partner closely with stakeholders across risk, product and analytics to ensure models are fit for purpose
- Work with data/system teams to ensure efficient and reliable model data pipelines (warehouse → modelling → production)
- Support audit activities, responding to findings and maintaining strong model risk ratings
- Contribute to credit scorecard development, innovation, monitoring and uplift opportunities
Requirements:
- Excellent tertiary qualifications in an Applied Mathematical discipline e.g. Engineering, Physics, Actuarial etc.
- At least 3 years' experience within a Quantitative Analytics function with a focus on Credit Risk
- Strong exposure to PD, LGD, EAD and/ or ECL models
- Exposure to IFRS 9 (advantageous)
- Technical proficiencies in SAS, R, Python or equivalent
For further information about these positions, please contact Olivia on 0409 356 856, email your CV to [email protected] or simply click APPLY.
Consultant
Reference number: 375-69039229
Profession:Data & AnalyticsFinancial Risk Management & Quantitative Analytics
Company: Bluefin Resources
Date posted: 21st Jan, 2026
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