Job Description

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- Identify opportunities to simplify policy, improve business rules, strengthen automation outcomes and reduce unnecessary manual intervention

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- Review credit policies, processes and business rules to improve automated decisioning outcomes

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- Translate analytical findings into practical policy and operational improvements

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- Support decision engine and business rule optimisation initiatives

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- Collaborate with analysts to identify trends, bottlenecks and root causes within application journeys

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- Prepare recommendations and implementation plans for key stakeholders

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- Assess customer, risk and operational impacts of proposed changes

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- Support delivery of automation and process improvement initiatives

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- Monitor outcomes and identify further opportunities to improve performance

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- Partner with stakeholders across Credit Risk, Analytics, Operations, Product and Technology

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Requirements/n

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- Experience within mortgage lending, credit risk, lending policy, credit assessment or credit strategy

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- Understanding of responsible lending obligations and credit risk frameworks

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- Experience developing or implementing lending policies, operational processes or business rules

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- Ability to influence stakeholders and drive outcome-focused change

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- Experience working within decision engine, credit decisioning or automated lending environments

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- Hands-on experience using tools such as SQL, SAS, Python, R, Tableau, Power BI and AI tools

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- Understanding of business rules frameworks and policy translation into system-based outcomes

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- Exposure to workflow automation and operational process improvement initiatives

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- Experience with credit strategy systems, decisioning tools or lending technology platforms

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- Understanding of data architecture concepts and data flows that support credit decisions

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- Familiarity with advanced analytics techniques and performance analysis methodologies

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- Exposure to machine learning, predictive models or AI-supported decisioning environments

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- Experience using process mining, operational analytics or root-cause analysis techniques

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- Ability to translate analytical insights into policy, process and customer outcomes

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- Degree qualification in Finance, Economics, Statistics, Mathematics, Data Analytics, Business, Risk Management, Information Systems or a related discipline is desirable

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- Relevant industry certifications, lending qualifications or analytics-related credentials will be highly regarded

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Core Competencies/n

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/n

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- Credit Risk Analysis

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- Lending Policy Development

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- Decision Engine Optimization

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- SQL Proficiency

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- Stakeholder Influence

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Hard Skills/n

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- Credit Risk

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- Lending Policy

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- Business Rules Development

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- Data Architecture

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- Process Improvement

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- Root-cause Analysis

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- Predictive Modeling

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- Operational Analytics

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- Automation

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- Advanced Analytics

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Soft Skills/n

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- Stakeholder Management

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- Influencing Change

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- Collaboration

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- Analytical Thinking

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- Communication

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Certifications & Qualifications/n

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- Relevant Industry Certifications

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- Lending Qualifications

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- Analytics-Related Credentials

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Industry Keywords/n

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- Mortgage Lending

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- Credit Assessment

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- Responsible Lending Obligations

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- Credit Risk Frameworks

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- Automated Lending

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- Business Rules Frameworks

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- Data Flows

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- Performance Analysis

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- Machine Learning

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- Predictive Models

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Tools & Technologies/n

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- SQL

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- SAS

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- Python

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- R

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- Tableau

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- Power BI

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- AI Tools

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- Decisioning Tools

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- Credit Strategy Systems

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- Workflow Automation

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#J-18808-Ljbffr

📌 Manager - Home Lending Credit Risk Automation (Newcastle)
🏢 Jobtailor
📍 Newcastle