- 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

- 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

Core Competencies

Demonstrates expertise in credit risk analysis, lending policy development, and process improvement initiatives, with a robust 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 Analysis
- Lending Policy Development
- Decision Engine Optimization
- SQL Proficiency
- Stakeholder Influence

Hard Skills

- Credit Risk
- Lending Policy
- Business Rules Development
- Data Architecture
- Process Improvement
- Root-cause Analysis
- Predictive Modeling
- Operational Analytics
- Automation
- Advanced Analytics

Soft Skills

- Stakeholder Management
- Influencing Change
- Collaboration
- Analytical Thinking
- Communication

Certifications & Qualifications

- Relevant Industry Certifications
- Lending Qualifications
- Analytics-Related Credentials

Industry Keywords

- Mortgage Lending
- Credit Assessment
- Responsible Lending Obligations
- Credit Risk Frameworks
- Automated Lending
- Business Rules Frameworks
- Data Flows
- Performance Analysis
- Machine Learning
- Predictive Models

Tools & Technologies

- SQL
- SAS
- Python
- R
- Tableau
- Power BI
- AI Tools
- Decisioning Tools
- Credit Strategy Systems
- Workflow Automation

#J-18808-Ljbffr

📌 Manager – Home Lending Credit Risk Automation (Sydney)
🏢 Jobtailor
📍 Sydney