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Quant jobs / Commonwealth Bank of Australia

Data Scientist Senior Associate

Commonwealth Bank’s credit-validation scientist independently challenges lending models. The work examines IRB, IFRS9 and stress-test methods across their lifecycle.

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.

  • Assess model data and methods.
  • Validate performance and calibration.
  • Report model risks and recommendations.

What they ask for

Required

  • Credit-model validation
  • Basel standards
  • Programming
  • Quantitative analysis
  • Communication

Preferred

  • APRA model regulations
Education
Bachelor’s or master’s engineering study is specified alongside quantitative academic requirements.
Experience
Two to four years in credit-model development or validation.
Languages and tools
  • SAS
  • R
  • Python
  • SQL
  • Jupyter
  • GitHub
Markets
credit

How to prepare

  • Backtest default predictions.
  • Assess calibration across economic cycles.
  • Write an independent model review.

What to study

The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Commonwealth Bank of Australia’s site before applying: requirements, location and pay can change after we check them.

View the posting on Commonwealth Bank of Australia’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Commonwealth Bank of Australia and doesn’t handle applications.

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