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Commonwealth Bank

Manager – Home Lending Credit Risk Automation

Commonwealth Bank

CommBank manager improving home lending credit decisions through policy, automation and analytics. Driving efficient, consistent outcomes across risk, operations, product and technology teams.

Posted 9/11/2026full-timeSydney • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in credit risk analysis, lending policy development, and process improvement initiatives, with a strong ability to translate analytical insights into actionable business outcomes. Proficient in utilizing advanced analytics and decisioning tools to optimize automated lending environments and enhance operational efficiency.

Highest-signal resume keywords
Credit Risk AnalysisLending Policy DevelopmentDecision Engine OptimizationSQL ProficiencyStakeholder Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Credit RiskLending PolicyBusiness Rules DevelopmentData ArchitectureProcess ImprovementRoot-Cause AnalysisPredictive ModelingOperational AnalyticsAutomationAdvanced Analytics
Soft Skills
Stakeholder ManagementInfluencing ChangeCollaborationAnalytical ThinkingCommunication
Tools & Technologies
SQLSASPythonRTableauPower BIAI ToolsDecisioning ToolsCredit Strategy SystemsWorkflow Automation
Certifications & Qualifications
Relevant Industry CertificationsLending QualificationsAnalytics-Related Credentials
Industry Keywords
Mortgage LendingCredit AssessmentResponsible Lending ObligationsCredit Risk FrameworksAutomated LendingBusiness Rules FrameworksData FlowsPerformance AnalysisMachine LearningPredictive Models

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Identify opportunities to simplify policy, improve business rules, strengthen automation outcomes and reduce unnecessary manual intervention
  • 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
  • Monitor outcomes and identify further opportunities to improve performance
  • Partner with stakeholders across Credit Risk, Analytics, Operations, Product and Technology

Requirements

What you’ll need
  • Experience within 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
  • Experience working within decision engine, credit decisioning or automated lending environments
  • Hands-on experience using tools such as SQL, SAS, Python, R, Tableau, Power BI and AI tools
  • Understanding of business rules frameworks and policy translation into system-based outcomes
  • Exposure to workflow automation and operational process improvement initiatives
  • Experience with credit strategy systems, decisioning tools or lending technology platforms
  • Understanding of data architecture concepts and data flows that support credit decisions
  • Familiarity with advanced analytics techniques and performance analysis methodologies
  • Exposure to machine learning, predictive models or AI-supported decisioning environments
  • Experience using process mining, operational analytics or root-cause analysis techniques
  • Ability to translate analytical insights into policy, process and customer outcomes
  • Degree qualification in Finance, Economics, Statistics, Mathematics, Data Analytics, Business, Risk Management, Information Systems or a related discipline is desirable
  • Relevant industry certifications, lending qualifications or analytics-related credentials will be highly regarded

Benefits

Comp & perks
  • Flexible workplace
  • Inclusive and respectful workplace culture
  • Professional and personal growth opportunities
  • Accessibility support
  • Career development opportunities
  • Work that makes a positive impact for customers, communities and each other