Senior Quantitative Analyst

• Analyse secured lending portfolio, profitability, customer behaviour and credit outcomes for risks and opportunities

• Translate complex analysis into clear recommendations for senior leadership and decision-making forums

• Develop and evaluate portfolio strategies for growth, risk-adjusted returns, loyalty, retention and switch attack/defence

• Assess campaigns, pricing, policy changes and business initiatives via pre- and post-implementation analysis

• Build accurate, reproducible analyses, reporting and decision-support tools; automate recurring processes

• Partner across Secured Lending, Credit, Pricing, Acquisitions, Impairments, Collections, Finance and Product

• Lead, coach and develop one analyst; strengthen team capability through review and on-the-job guidance

• Challenge model builds through peer review and best practice; take corrective action where risk is identified

• Increase efficiencies through programming and process automation

• Support transformation goals and continuous improvement through credible analysis and stakeholder engagement

• Professional qualification / Honour’s degree (NQF essential)

• Preferred: postgraduate degree in Statistics, Mathematics, Actuarial Science, Engineering, Economics or related quantitative field

• 5–7 years’ relevant quantitative or analytical experience

• Exposure to credit, portfolio management or risk analytics

• Experience using analytical tools such as SAS, Python or SQL

• Stakeholder management experience across various levels

• Strong track record in statistical modelling and forecasting; proficiency in at least one of Python, R, C++, Java, SQL, SAS, VBA or MATLAB

• Technical understanding of risk models (e.g. PD/LGD, VaR) and model lifecycle; AI/ML exposure advantageous