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Credit Risk Analyst: Unsecured Credit

  • Cape Town, ZAF
  • Full Time
  • Hybrid
  • Retail
  • Credit Risk
  • Acquisitions
  • Credit Portfolio Management
  • Scorecard Development
  • Data and Analytics

The employer is confidential. We will discuss the organization and employment arrangement during the recruitment process.

About the role

Introduction

Permanent | Cape Town | Hybrid

A South African retailer is seeking a Credit Risk Analyst to take hands-on ownership of an unsecured lending portfolio spanning cash and revolving loans. The focus is practical credit strategy, portfolio performance and end-to-end credit lifecycle management, rather than a primarily model-development or data-science role.

Role Responsibilities

  • Develop and improve acquisition credit policies, credit limits and exposure management rules using customer performance data.

  • Monitor portfolio performance across acquisition, account management, collections, recoveries and write-offs, identifying risks, mitigations and responsible growth opportunities.

  • Take accountability for portfolio-related processes, including outsourced activities, and translate analytical findings into practical action.

  • Implement and monitor credit strategies and bureau scorecards; design and execute A/B tests to evaluate changes.

  • Produce regular and ad-hoc analytical reports and communicate recommendations clearly to stakeholders.

  • Work with project managers, business analysts and technology teams to implement and test credit solutions.

  • Advise Marketing and Collections teams and support the development of junior analytical capability as the team grows.

Experience Requirements

  • Strong quantitative analysis, data querying and problem-solving skills, with the ability to translate findings into credit decisions and operational improvements.

  • Relevant credit risk and portfolio management experience; exposure across the credit lifecycle is advantageous.

  • Programming proficiency in SQL, Python, R or SAS. The current environment uses SAS; candidates with transferable programming capability are encouraged to apply.

  • Understanding of credit scorecards and risk strategies. Scorecard development, machine learning or data-science experience is advantageous, not the primary focus of the role.

  • Hands-on ownership, attention to detail and the ability to manage priorities and deliver with accountability.

  • Clear communication and relationship-building skills, with leadership capability or potential to grow into a management role as the portfolio and team develop.

Education Requirements

  • A bachelor’s degree in a STEM field is essential.

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