Chapter Lead (Executive Manager) - Credit Model Validation, Model Risk Validation

You're passionate about leading high-performing teams and validating credit risk models.

You embrace innovative approaches to enhance risk outcomes and increase efficiency.

Together, we'll apply market-leading practices in credit risk model validation to improve models through considered challenge.

Do Work That MattersAs a Chapter Lead in our Credit Model Validation team, you’ll lead a talented group of credit model experts across Australia and India, driving excellence in model validation and tooling development.You’ll play a key role in shaping the future of our credit models, ensuring best practice and alignment with customer and regulatory expectations.See Yourself in Our TeamAs part of our team, you’ll be empowered to shape the future of our credit risk models alongside top-tier talent in a collaborative, inclusive environment. Model Risk & Validation is part of the Enterprise Risk function and provides considered challenge to improve modelling outcomes.We’re seeking an exceptional Credit Model Validation Chapter Lead (Executive Manager) to help shape the future of credit risk model validation. You’ll be part of a collaborative, forward-thinking team committed to the delivery of best practice technical challenge and risk input to model development and continuous learning at scale.Your Impact

• Lead a team of credit risk model experts across Australia and India
• Recruitment, retention, coaching, and career development
• Planning, monitoring, and finalising model validation tooling and activities
• Maintaining the quality and consistency of team deliverables, including leading some individual validation activities
• Occasional international travel may be required
• Drive strategic transformation
• Leading the development of tooling to accelerate validation workflows
• Embed changes to model validation frameworks
• Lead continuous improvement in model monitoring methodology and metrication
• Collaborate with key stakeholders
• Model development, model owner and monitoring teams
• Regulatory presentations and responses
• Audit teams and governance bodies.
• Recruitment, retention, coaching, and career development
• Planning, monitoring, and finalising model validation tooling and activities
• Maintaining the quality and consistency of team deliverables, including leading some individual validation activities
• Occasional international travel may be required
• Leading the development of tooling to accelerate validation workflows
• Embed changes to model validation frameworks
• Lead continuous improvement in model monitoring methodology and metrication
• Model development, model owner and monitoring teams
• Regulatory presentations and responses
• Audit teams and governance bodies.

We are interested in people with:Leadership & Vision

• Demonstrated expertise in leading high-performing teams with a focus on statistical and mathematical modeling
• Skilled in mentoring junior team members and leading technical initiatives in a fast-paced environment
• Enthusiastic about developing automation tools to drive continuous workflow improvements
• Strong stakeholder management abilities, including engagement with General Managers
• Exceptional communication skills and growth mindset
• Experience with agile methodologies and tooling

 Technical Excellence

• Deep understanding of credit risk modelling and data with ~10 years hands-on experience in model development and/or validation.
• Advanced knowledge of APRA's prudential regulation, standards and guidance for models used to calculate Risk Weighted Assets and AASB9 requirements for provisioning models.
• Familiarity with model risk governance and validation processes.
• Fluency in coding languages such as R/SQL/Python.
• Advanced knowledge of well-established and emerging statistical modelling and modern data science methodologies and tools: Quarto/JupyterLab, and Git / Github / Github Copilot. Experience with AWS Sagemaker, AWS Bedrock, and H2O.ai is preferable.
• Sound understanding of software engineering concepts to support the development of tooling - experience in generative AI preferable.
• Degree in Statistics, Mathematics, Data Science, Physics, Engineering, Computer Science, Actuarial Studies, or related field.

The ideal candidate will have expertise across multiple areas above, though we don't expect mastery in every technology listed.

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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Advertising End Date: 23/10/2025