Data Scientist

At CBA, our Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group.

Impact & contribution:

As a key member of our Model Risk & Validation team, you’ll contribute to robust validation processes, leverage advanced analytics tools, and support effective risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while contributing to the Group’s broader transformation initiatives.

Roles & Responsibilities:

Credit Model Validation – Perform validation activities assessing data quality, modelling methodologies, model performance and regulatory compliance across the model lifecycle for IRB, IFRS9 and Stress Testing models, including new models and ongoing post-implementation fit-for-purpose reviews.

Stakeholder Engagement – Engage proactively with stakeholders including internal audiences and forums comprising model developers, owners and monitors to communicate findings, risks, and recommendations.

Strategic Transformation & Continuous Improvement – Contribute to strategic transformation and continuous improvement in the validation function, streamlining workflows, uplifting validation methodologies, and enhancing the quality, consistency and efficiency of validation outcomes.

Functional Ownership – Support validation leads with functional ownership of allotted delivery. Contribute to knowledge-sharing within the chapter area, support advanced analytics tooling and high-quality communication standards.

Essential Skills:

• 5-8 years of credit risk model validation or development experience on IRB, IFRS9 and stress testing models.
• Demonstrated experience in end-to-end delivery of projects, along with sound communication and time management skills.
• Tertiary qualifications, with above average academic achievements, in a quantitative discipline such as mathematics, statistics and econometrics.
• Programming skills in SAS, R, Python and SQL.
• Experience with the Basel regulatory standards regarding credit risk is essential.
• Experience with relevant APRA regulations on IRB, IFRS9 and stress testing is advantageous.
• Expertise in using Jupyter notebooks or R-markdown and GitHub is a definite advantage.
• Working knowledge of Copilot, GPT, Claude etc. is a necessity.
• Demonstrated skills in written and verbal communication, including the ability to interpret and report complex material and make sound recommendations to a range of stakeholders.

Education Qualification:

Bachelor’s degree or master’s degree in engineering in Computer Science/Information Technology.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

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