Job Description

n
- Identify opportunities to simplify policy, improve business rules, strengthen automation outcomes and reduce unnecessary manual intervention
n
- Review credit policies, processes and business rules to improve automated decisioning outcomes
n
- Translate analytical findings into practical policy and operational improvements
n
- Support decision engine and business rule optimisation initiatives
n
- Collaborate with analysts to identify trends, bottlenecks and root causes within application journeys
n
- Prepare recommendations and implementation plans for key stakeholders
n
- Assess customer, risk and operational impacts of proposed changes
n
- Support delivery of automation and process improvement initiatives
n
- Monitor outcomes and identify further opportunities to improve performance
n
- Partner with stakeholders across Credit Risk, Analytics, Operations, Product and Technology
n

n

Requirements

n

n
- Experience within mortgage lending, credit risk, lending policy, credit assessment or credit strategy
n
- Understanding of responsible lending obligations and credit risk frameworks
n
- Experience developing or implementing lending policies, operational processes or business rules
n
- Ability to influence stakeholders and drive outcome-focused change
n
- Experience working within decision engine, credit decisioning or automated lending environments
n
- Hands-on experience using tools such as SQL, SAS, Python, R, Tableau, Power BI and AI tools
n
- Understanding of business rules frameworks and policy translation into system-based outcomes
n
- Exposure to workflow automation and operational process improvement initiatives
n
- Experience with credit strategy systems, decisioning tools or lending technology platforms
n
- Understanding of data architecture concepts and data flows that support credit decisions
n
- Familiarity with advanced analytics techniques and performance analysis methodologies
n
- Exposure to machine learning,



predictive models or AI-supported decisioning environments
n
- Experience using process mining, operational analytics or root-cause analysis techniques
n
- Ability to translate analytical insights into policy, process and customer outcomes
n
- Degree qualification in Finance, Economics, Statistics, Mathematics, Data Analytics, Business, Risk Management, Information Systems or a related discipline is desirable
n
- Relevant industry certifications, lending qualifications or analytics-related credentials will be highly regarded
n

n

Core Competencies

n

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.

n

Highest-signal resume keywords

n

n
- Credit Risk Analysis
n
- Lending Policy Development
n
- Decision Engine Optimization
n
- SQL Proficiency
n
- Stakeholder Influence
n

n

Hard Skills

n

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

n

Soft Skills

n

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

n

Certifications & Qualifications

n

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

n

Industry Keywords

n

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

n

Tools & Technologies

n

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

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