Credit Risk Manager - Stress Testing

Commonwealth Bank of Australia; Sydney; Sur place; AUD 140 000 - 230 000; Plein temps

Résumé du poste

Commonwealth Bank of Australia is seeking a Credit Risk Manager - Stress Testing to help build and embed an in-house stress-testing model monitoring capability for non-retail credit portfolios. You will combine hands-on analytics with stakeholder engagement to enable timely, data-driven decisions.

Using R, Python and SQL, you will turn model-performance data into clear insights; contribute to monitoring deployment and ongoing validation, collaborating with Risk Management and other teams across

Qualifications

• Strong quantitative judgement with ability to link analysis to business decisions.
• Experience in credit risk modelling, ideally stress testing or provisioning.
• Hands-on data analysis capabilities with practical experience.
• Proficiency in R or Python for analysis.
• Strong SQL skills to query and manipulate data.
• Proven stakeholder engagement and communication with senior audiences.

Responsabilités

• Develop and implement an in-house stress-testing model monitoring capability.
• Deploy monitoring for existing internal stress-testing models across non-retail portfolios.
• Provide ongoing monitoring and performance assessment of stress-testing models.
• Apply credit risk modelling used for stress testing and provisioning to inform monitoring outcomes.
• Run hands-on data analysis in R or Python to assess model performance.
• Query and manipulate data using SQL to support monitoring and reporting.
• Engage business and risk stakeholders, translating findings into practical insight and presenting to senior forums.
• Contribute to delivery milestones and checkpoints across the project lifecycle.

Connaissances

R

Python

SQL

Description du poste

Credit Risk Manager - Stress Testing

Help build and embed a new in-house stress-testing model monitoring capability across non-retail credit portfolios.

Join a collaborative risk team where hands-on technical work, stakeholder influence and career growth go together.

Use R, Python and SQL to turn model-performance data into clear, decision-ready insight.

Do Work That Matters

Be part of the team that helps CommBank make better decisions. Risk Management partners across the Group to identify, assess and manage risk, protecting our customers, strengthening the bank and enabling sustainable growth.

In this role, you'll help develop and implement an in-house stress-testing model monitoring capability for non-retail credit portfolios. Combining hands‑on analytics with strong stakeholder engagement, you'll help deploy monitoring for our existing internal stress-testing models, and continue supporting ongoing monitoring once the capability is live.

See yourself in our team

You'll join the IB&M Risk Credit Portfolio team within Risk Management. The team delivers stress testing, IFRS 9 provisioning, risk projects and process improvements, working with stakeholders across the business, Risk Management and model validation teams in Australia and offshore.

• Help develop and implement an in-house stress-testing model monitoring capability.
• Support the deployment of monitoring for existing internal stress-testing models across non-retail portfolios.
• Provide ongoing monitoring and performance assessment of stress-testing models once live.
• Apply credit risk modelling used for stress testing and provisioning to inform monitoring outcomes.
• Run hands-on data analysis in R or Python to assess model performance.
• Query and manipulate data using SQL to support monitoring and reporting.
• Engage business and risk stakeholders, translating findings into practical insight and presenting to senior forums.
• Contribute to delivery milestones and checkpoints across the project lifecycle.

We're interested in hearing from people who

• Bring strong quantitative judgement, curiosity and the ability to connect technical analysis with business decisions. We know great candidates may not meet every requirement listed below, so if you believe your experience could add value, we'd still like to hear from you.
• Have experience in credit risk modelling, ideally applied to stress testing or provisioning.
• Bring practical, hands-on data analysis capability.
• Are proficient in R or Python for analysis.
• Have strong SQL skills to query and manipulate data.
• Can demonstrate proven stakeholder engagement and communication skills, including with senior audiences.
• Have knowledge of credit risk management, risk concepts and processes; non-retail portfolio experience is advantageous.
• Work well to defined checkpoints and delivery timelines.

If this opportunity excites you, we'd love to hear from you.

Working with us

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696.

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