PRINCIPAL LEAD: Credit Risk (Existing Customer Management)
Summary
Lead a team to design and implement credit risk strategies for existing customers, using analytics and modeling to optimize decision-making and portfolio performance in a regulated financial services environment.
Main Purpose
To support the Head of Credit Risk in managing the WFS Existing Customer Management (ECM) Credit Risk strategy, by partnering and leading a team of analysts in ensuring the ECM Risk agenda is clearly defined, optimised and effectively executed within a robust control framework and aligned to relevant policy and legislation. Accountabilities include:
- Assist in defining, optimising and implementing the WFS ECM Risk strategy, covering ECM Credit Risk Decisioning, Credit Limit Management, Affordability Risk, Card Overlimit Authorisations, Credit Card Re-Issue, etc.
- Develop and maintain world-class analytically-driven strategies to optimise risk performance, by leveraging statistical/modelling techniques to unlock value from enterprise data assets
- Act as a representative in forums, weekly and/or monthly meetings and enterprise project initiatives, collaborating cross-functionally and managing stakeholders across the business
- As a credible and respected expert within a sub-discipline of Credit Risk management, generate ideas and offer unique perspectives to optimise complex processes, systems and disciplines
- Lead, manage and develop a team of Credit Risk analysts
KEY OUTCOMES
- Strategy Development and Monitoring
- Technical Subject Matter Expertise
- Thought Leadership
- Stakeholder Management
- Action Orientation & Delivery
- Management & Team Leadership
Requirements
TECHNICAL COMPETENCIES
- Credit Risk Management
- Champion/Challenger Strategy Design
- Structured Query Language Proficiency
- Packaging and presenting Data Insights
- Statistics and Modelling Methodologies
- Credit Industry and Market Knowledge
BEHAVIOURAL COMPETENCIES
- Intellectual Curiosity – continuous improvement, innovation and ability to deal with change
- Stakeholder Engagement – collaboration, influencing and persuading
- Decision Making – mental agility, analysing and interpreting
- Action Orientated – results focus, determination to achieve and deadline driven
- Self-leadership – initiating, planning and organising own deliverables
- Analytical Thinking – attention to detail, focus on quality and integrity of output
- Team Player – relating, networking and supporting colleagues
QUALIFICATIONS
- Minimum: Bachelor’s degree (3 years) ideally in the following disciplines: Quantitative Risk Management, Mathematics or Statistics, Finance, Economics, Econometrics
- Preferred: Post graduate degree
EXPERIENCE REQUIRED
- Minimum: 5+ years Credit Risk related experience in a Senior Analytical Role
- Proven strategy development and implementation experience using credit scores, bureau scores and segmentation analytics on consumer portfolios
- At least 5 years analytical experience on a consumer portfolio (credit cards, private label / retail cards, loans, etc.) in either Credit Risk or Collections strategies
- Experience in working in an outsourced environment and effectively implementing solutions using both internal and external resources
- Experience in data cleaning, data manipulation, and analysing large data sets using SAS, SQL, AWS Cloud Analytical Tools, or similar environment
- Formal team management and leadership experience in an analytical context
ADDITIONAL REQUIREMENTS
- Knowledge of financial services industry in a strongly regulated environment for a multi- product, multi-stakeholder organisation
- Knowledge and application of credit scoring and risk management techniques across the entire credit life cycle on consumer portfolios
- Proven ability in analytics, business acumen and presenting/communicating recommendations across all organisation levels
- Ability to work with diverse teams to ensure effective implementation of projects
- Understanding of financial metrics in relation to portfolio management and the associated forecasting thereof
- High proficiency in structured language analytical software (SAS, SQL, Python, AWS Cloud)
- High proficiency in Microsoft Office (Excel, PowerPoint, Word)
Closing Date: 29 July 2026