Manager - Home Lending Credit Risk Automation

About the role

CommBank is looking for a Manager, Home Lending Credit Risk Automation, based in the Sydney CBD area. The role sits within Home Buying Credit Risk, a newly established team focused on using analytics, automation and policy expertise to improve credit decisioning outcomes. You will review credit policies and business rules, partner with Credit Risk, Analytics, Operations, Product and Technology teams, and help shape more efficient, consistent and customer-focused lending decisions.

Key responsibilities

• Review credit policies, processes and business rules to improve automated decisioning outcomes
• Translate analytical findings into practical policy and operational improvements
• Support decision engine and business rule optimisation initiatives
• Collaborate with analysts to identify trends, bottlenecks and root causes within application journeys
• Prepare recommendations and implementation plans for key stakeholders
• Assess customer, risk and operational impacts of proposed changes
• Support delivery of automation and process improvement initiatives and monitor outcomes

Required profile

• Lending and credit risk experience with a practical understanding of analytics, automation and evidence-based decision making
• Experience in mortgage lending, credit risk, lending policy, credit assessment or credit strategy
• Understanding of responsible lending obligations and credit risk frameworks
• Experience developing or implementing lending policies, operational processes or business rules
• Ability to influence stakeholders and drive outcome-focused change
• Desirable: degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Business, Risk Management, Information Systems or a related discipline; relevant certifications or lending qualifications highly regarded

Required skills

• Hands-on experience with SQL, SAS, Python, R, Tableau, Power BI and AI tools
• Understanding of business rules frameworks and data architecture concepts
• Exposure to workflow automation, process mining, operational analytics and root-cause analysis
• Familiarity with machine learning, predictive models and advanced analytics techniques