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PRINCIPAL LEAD: Credit Risk (Existing Customer Management)

Job Description - PRINCIPAL LEAD: Credit Risk (Existing Customer Management)

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

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