Credit Risk Manager - Stress Testing

Commonwealth Bank; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

Commonwealth Bank's IB&M Risk Credit Portfolio team is hiring a data-focused risk professional to develop and deploy an in-house stress-testing model monitoring capability for non-retail portfolios. You will perform hands-on analysis in R or Python and use SQL to support monitoring, with strong stakeholder engagement across business and risk teams.

You will translate model findings into practical insights for senior forums, contribute to project milestones and drive delivery within defined

Job description

• 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.
• 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:

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