Job Advert Summary
We are seeking a highly analytical and detail-oriented Credit Risk Modeller to join our Lending Team. The successful candidate will be responsible for building, validating, and maintaining credit risk models used for decision-making, calibrating, regulatory compliance, and strategic risk assessment. This role is ideal for a technically skilled individual who is passionate about data, modelling, and developing insights that drive business impact.
Hello Group is a South African company with a bold mission: to create game-changing integrated consumer and business services for migrant and marginalised communities. Our focus is on providing low-cost, easily accessible, and simple-to-use financial solutions, all powered by cutting-edge technology.
What Hello Group Offers
- Onsite Barista – Because life’s too short for bad coffee!
- Exciting Team Events – Work hard, play harder!
- Teambuilding Activities – Get to know your teammates beyond the screen!
- A Culture That Feels Like Family – No corporate robots here—just real people doing great things!
- A Top-Notch Office Space – Where inspiration meets innovation.
Minimum Requirements
- A degree in Statistics, Actuarial Science, Mathematics, Data Science, Quantitative Risk Management, or a related field.
- A postgraduate degree (MSc/PhD) is advantageous.
- 3–7 years’ experience in credit risk modelling, financial modelling, or data analytics within financial services, fintech, or consulting.
- Experience building credit models based on data-driven insights.
- Solid understanding of credit lifecycle, risk metrics, and regulatory frameworks.
- Experience working in a fintech or data-driven environment.
- Hands-on experience with statistical programming (e.g., R, Python, SAS) and data manipulation (SQL).
- Familiarity with modern machine learning approaches is beneficial, though not essential.
Duties and Responsibilities
- Develop, implement, and maintain models for credit risk measurement related to;
- Merchant Advances
- Consumer Advances
- Create and refine credit scoring models to support lending decisions and customer lifecycle strategies.
- Conduct model performance monitoring, diagnostics, and ongoing validations to ensure accuracy and stability.
- Collaborate with Data Engineers and Business Analysts to ensure data quality and integrity for model inputs.
- Produce clear, well-documented model development and validation reports for governance and audit purposes.
- Contribute to stress testing and scenario analysis for regulatory or internal capital planning.
- Stay current with regulatory changes, data science trends, and modelling techniques.
- Engage with internal committees, governance teams, and stakeholders to explain model outcomes and support decision-making.
- Support automation and integration of models into operational systems using appropriate tools and programming languages.
