Credit Risk Modeling Scientist

Commonwealth Bank Of Australia; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Commonwealth Bank of Australia is seeking a Data Scientist - Credit Risk Models to develop and enhance credit risk models and stress-testing methodologies. You will work with large data sets, apply advanced statistical techniques, and translate complex modelling outcomes into clear insights for both technical and business stakeholders.

The role sits in the Model Development Chapter Area within Risk Management, supporting regulatory capital, provisioning and risk decision-making across Retail and

Qualifications

• A tertiary qualification in mathematics, statistics, econometrics, engineering or data science with strong quant modules.
• Experience in quantitative modelling, statistical modelling or data science for risk analytics.
• Strong foundations in statistical/predictive modelling with exposure to regression, time-series or macroeconomic modelling.
• Hands-on programming capability using R and/or Python, with SQL experience.
• Ability to work through ambiguous analytical problems and communicate results clearly.

Responsibilities

• Develop and enhance credit risk stress-testing models using advanced statistical techniques.
• Apply predictive modelling, regression, time-series analysis and macroeconomic modelling to portfolios.
• Translate economic scenarios into measurable credit-risk impacts (PD/LGD/EAD).
• Analyse model behaviour, sensitivities and risk drivers for portfolio impact under different conditions.
• Document methodologies, assumptions and modelling decisions for independent review and validation.
• Collaborate with model users, validation teams and risk partners across the lifecycle.

Skills

R/Python

SQL

Statistical modelling

Quantitative problem solving

Credit risk

Education

Tertiary qualification in quantitative discipline

Tools

R

Python

SQL

Job description

Commonwealth Bank of Australia is seeking a Data Scientist - Credit Risk Models to develop and enhance credit risk models and stress-testing methodologies. You will work with large data sets, apply advanced statistical techniques, and translate complex modelling outcomes into clear insights for both technical and business stakeholders.

The role sits in the Model Development Chapter Area within Risk Management, supporting regulatory capital, provisioning and risk decision-making across Retail and