Quantitative Analyst at Capitec Bank

What you’ll do

• Run and maintain advanced financial models that support pricing, impairment forecasting, and capital planning.
• Improve model accuracy and stability by refining assumptions, methods, and model components.
• Build and test parts of new models to meet changing business and regulatory needs.
• Turn complex analysis into clear, practical insights that help our teams make better decisions.
• Monitor model performance over time and identify where we can optimise and simplify.
• Work closely with colleagues across our analytical and finance functions to deliver reliable model outputs.

About our team

• We are a quantitative modelling team that supports decision‑making across key financial areas. Our work helps people across the bank understand risk, plan for different economic conditions, and keep our pricing and capital approaches robust. We work in a fast‑moving environment where accuracy, curiosity, and clear thinking matter every day.

Why this role is different

• You’ll have real influence. Our models feed into decisions that matter, and your work will be used and challenged by experienced analytical teams.
• You’ll grow deep technical skill. We work with advanced statistics and financial mathematics, and we care about doing the basics exceptionally well.
• You’ll get broad exposure. You’ll see how economic conditions, regulation, and business strategy connect through modelling.
• You’ll join a supportive, high‑standards culture. We value clear communication, careful thinking, and teamwork

What we're looking for

• An Honours Degree in Mathematics or Statistics, plus 1–3 years’ experience in an analytical role focused on financial models
• or a Master’s Degree in Mathematics or Statistics, plus 0–2 years’ experience in a similar analytical role
• Experience working in a dynamic, mathematically complex environment
• Strong capability in forecasting and budgeting approaches used in financial models
• Advanced statistical analysis skills and confidence with complex data
• Strong understanding of financial mathematics and how it applies to real‑world modelling
• Strong attention to detail and a structured, methodical way of working
• Clear communication skills, with the ability to explain complex work in plain English
• Strong computer literacy, especially in MS Excel (and working comfort in MS Word and MS Outlook)
• Helpful (but not required): banking experience, and exposure to credit pricing, impairment modelling (IFRS 9), capital planning, or relevant regulatory frameworks such as Basel

Conditions of Employment

• Clear criminal and credit record