About the role
Introduction
A consumer lending business is seeking a Credit Risk Manager for a permanent opportunity in Stellenbosch. Working within a data-led credit team, you will shape credit policy and use analytical insight and commercial judgement to balance portfolio risk, profitability and sustainable growth while making credit simpler and more accessible. The role is hybrid, with three days per week in the Stellenbosch office.
Role Responsibilities
Maintain clear, consistent credit policies adapted to local market conditions.
Analyse and recommend changes to credit limits, scorecard cut-offs, pricing, provisioning and credit rules, supported by evidence-based business cases.
Design controlled credit experiments, evaluate their impact and translate findings into better credit decisions and customer experiences.
Develop risk-based pricing strategies and collaborate with Finance and Data Science on credit risk assumptions and model inputs.
Monitor credit quality, repayment trends and portfolio losses, identifying emerging risks and recommending interventions.
Translate scoring models into practical policy, working across Operations, IT and Data to implement and test credit rules.
Own the credit policy approval process through implementation, monitoring and refinement, and communicate outcomes to stakeholders.
Share expertise, challenge assumptions and strengthen credit decision-making across teams.
Experience Requirements
5–8+ years of consumer credit risk experience, including hands-on work with unsecured credit policy, pricing, credit limits, provisioning and scorecard cut-offs.
Advanced SQL/Python skills and confidence analysing large datasets using BigQuery or similar cloud-based platforms.
Deep understanding of credit scoring, risk-based pricing, portfolio analytics and the relationship between credit risk and profitability.
Experience designing credit experiments, evaluating model performance and converting analytical findings into policy decisions.
Strong understanding of credit risk modelling inputs, loss forecasting and IFRS 9 provisioning principles.
Sound commercial judgement, the ability to influence senior stakeholders and clear communication of complex credit decisions.
A collaborative, evidence-led approach that balances customer needs with responsible lending, growth and profitability.
Willingness and ability to travel across Africa at least once a quarter.
Education Requirements
A degree in Statistics, Actuarial Science, Mathematics, Economics, Finance or a related quantitative field.