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Retail Manager
Commonwealth Bank. Lead development, maintenance and enhancement of key retail credit risk models used across CommBank .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical modeling and credit risk modeling, utilizing R, Python, and SQL to develop and enhance key risk models. Strong ability to communicate complex analyses clearly to stakeholders while leading projects and mentoring analysts.
Highest-signal resume keywords
Statistical ModelingCredit Risk ModelingR ProgrammingPython ProgrammingSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical TechniquesModel DevelopmentModel Performance AssessmentProbability of Default ModelsLoss Given Default ModelsExposure at Default ModelsAdvanced AnalyticsModel Risk Management
Soft Skills
Strong Written CommunicationStrong Verbal CommunicationCollaborative Working StyleCurious Working StyleStakeholder Engagement
Tools & Technologies
GenAIModern Tooling
Industry Keywords
Basel StandardsAPRA Credit Risk RequirementsIFRS9 Provisioning
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead development, maintenance and enhancement of key retail credit risk models used across CommBank
- Build statistical models and perform advanced analysis across credit portfolios using R, Python and SQL
- Develop and enhance Probability of Default, Loss Given Default and Exposure at Default models
- Apply statistical techniques, model risk management principles and regulatory considerations
- Engage with independent model validation, business unit risk teams, model users and other credit modelling lifecycle teams
- Lead initiatives, guide project delivery and mentor analysts without direct reports
- Contribute to projects improving model development agility, quality and efficiency
- Use GenAI and modern tooling to improve velocity, documentation and ways of working
- Document modelling outcomes, methodology choices and key assumptions clearly for stakeholder validation and impact assessment
Requirements
What you’ll need- Strong experience in statistical modelling, credit risk modelling, advanced analytics or a related quantitative discipline
- Hands-on capability using R or Python
- Experience using SQL to work with large datasets
- Solid understanding of statistical techniques, model development and model performance assessment
- Experience applying modelling approaches to business, risk or regulatory problems
- Strong written and verbal communication skills
- Ability to explain complex analysis clearly to a range of stakeholders
- Ability to manage priorities, lead pieces of work and deliver high-quality, well-documented outcomes
- Collaborative and curious working style
- Confidence engaging stakeholders across technical and business teams
- Exposure to Basel standards, APRA credit risk requirements or IFRS9 provisioning highly regarded
Benefits
Comp & perks- Accessible, inclusive and respectful workplace
- Support or workplace adjustments for accessibility needs
- Career development opportunities
- Support for employees of the Commonwealth Bank Group through Sidekick