Lead the end-to-end credit risk automation program and associated delivery roadmapLead a newly established capability improving how home loan applications move through the credit assessment processIdentify opportunities to improve automated decisioning outcomesSimplify policy and process frameworksEnhance customer experiences while maintaining responsible lending and risk standardsPartner across Credit Risk, Home Buying, Operations, Product, Technology and AnalyticsImprove credit decisioning outcomes with analytics, technology and policy teamsTranslate analytical insights into practical policy, process and automation solutionsDrive simplification initiatives that improve customer experience and operational efficiencyInfluence strategic decisions through data-driven recommendations and governance engagementManage risks, dependencies and delivery priorities across multiple initiativesBuild capability within a multidisciplinary team of credit risk and analytics professionalsFoster collaboration, continuous improvement and evidence-based decision makingRequirementsSignificant experience within mortgage credit risk, home lending, portfolio management or credit strategyDeep knowledge of Australian retail lending and responsible lending requirementsExperience balancing customer outcomes, portfolio quality, risk appetite and regulatory obligationsProven success influencing senior stakeholders and leading complex change initiativesExperience working within credit decisioning and automated lending environmentsUnderstanding of decision engine platforms, business rules frameworks and credit decisioning ecosystemsDemonstrated hands-on experience using analytical tools such as SQL, SAS, Python, R or similar platformsExposure to workflow automation initiatives and process optimisation programsKnowledge of credit strategy systems and decisioning technologies used to support lending outcomesUnderstanding of data architecture,



data lineage and information flows supporting credit risk decisionsExperience using advanced analytics and portfolio insights to inform policy, strategy or operational decisionsFamiliarity with machine learning, predictive modelling and AI-enabled decision support environmentsExperience using process mining, root-cause analysis or operational analytics to identify improvement opportunitiesUnderstanding of decision science principles and data-driven decision makingExperience leading teams comprising analytics, policy, operational and technology specialistsDegree qualification in Finance, Economics, Statistics, Mathematics, Data Analytics, Risk Management, Computer Science, Business or a related discipline (desirable)Postgraduate qualifications in Analytics, Risk, Finance, Technology or Leadership (highly regarded)Relevant skilled certifications in risk, analytics, automation or technology disciplines (advantageous)Core CompetenciesDemonstrates expertise in leading credit risk automation programs and enhancing customer experiences through data-driven decision making.
Proficient in leveraging analytical tools and technologies to improve credit decisioning outcomes while ensuring compliance with responsible lending standards.Highest-signal resume keywordsMortgage Credit Risk ExperienceCredit Decisioning EnvironmentsAnalytical Tools ProficiencyStakeholder InfluenceProcess OptimisationHard SkillsSQLSASPythonRData ArchitecturePredictive ModellingMachine LearningProcess MiningRoot-Cause AnalysisDecision Science PrinciplesSoft SkillsCollaborationContinuous ImprovementEvidence-Based Decision MakingChange LeadershipInfluencing Senior StakeholdersCertifications & QualificationsRisk Management CertificationAnalytics CertificationAutomation CertificationTechnology CertificationIndustry KeywordsAustralian Retail LendingResponsible Lending RequirementsPortfolio ManagementCredit StrategyHome LendingTools & TechnologiesDecision Engine PlatformsBusiness Rules FrameworksCredit Strategy SystemsWorkflow Automation ToolsOperational Analytics
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📌 Senior Manager – Home Lending Credit Risk Automation (Sydney)
🏢 Jobtailor
📍 Sydney