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 solid 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-*****-Ljbffr

📌 Manager – Home Lending Credit Risk Automation (New South Wales)
🏢 Jobtailor
📍 New South Wales