Quant jobs / Macquarie
Manager, Credit Model Risk Management – Prudential and Provisioning
An independent model-validation role covering the credit risk models behind a bank's capital, provisioning and stress testing. You challenge model builders and report to senior stakeholders.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Review and validate default, loss-given-default and exposure models for regulatory and economic capital
- Assess provisioning and stress-testing models against accounting and prudential standards
- Write findings that challenge model developers and set out remediation steps
- Work with risk, finance, data and technology teams across several jurisdictions
What they ask for
Required
- Credit risk modelling (PD, LGD, EAD)
- Stress testing
- Provisioning (IFRS 9 / AASB 9)
- Model validation
- Prudential rules (APS 113, Basel)
- Stakeholder management
- 5+ years in quant, risk modelling or validation
Preferred
- Python, SAS, R or SQL
- Education
- Not stated
- Experience
- 5+ years in a quantitative, risk modelling or model validation role
- Languages and tools
- Markets
- credit
How to prepare
- Build a simple PD scorecard with logistic regression and validate its discrimination and calibration
- Read the Basel IRB framework summary and an IFRS 9 expected-loss explainer
- Practise writing a validation report with findings, severity ratings and recommendations
- Replicate an expected credit loss calculation with scenario weights
What to study
- Quantitative Risk Management
- Counterparty Credit Risk and CVA
- Probability, Statistics and Financial Data
- Econometrics and Financial Time Series
- Python for Quantitative Finance
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Read the full posting on Macquarie’s site before applying: requirements, location and pay can change after we check them.
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SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Macquarie and doesn’t handle applications.
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