Team Leader: Credit Pricing and Provisioning
Date: 11 Nov 2026
Location: Sandton, ZA
Company: Capitec Bank Ltd
Lead the models behind better credit decisions
At Capitec, credit modelling isn't simply about producing numbers. It's about making sure the models behind our lending decisions are robust, relevant and able to evolve as our business grows.
We're looking for an experienced quantitative professional to lead a specialist team responsible for the development, optimisation and ongoing performance of our credit provisioning and pricing models.
This is a role for someone who combines deep technical modelling expertise with people leadership. You'll lead a team of analysts, but you'll also remain close to the technical work, challenging methodologies, guiding model development and helping solve complex modelling problems.
The role is particularly focused on ensuring that models are methodologically sound and IFRS 9 compliant, while developing and enhancing models across the Business Banking product portfolio.
What you'll be doing
Who we're looking for
You'll bring substantial experience working in a mathematically complex analytical environment, with a strong foundation in financial and credit risk modelling.
You should have:
- An Honours degree in Mathematics, Statistics or a closely related quantitative discipline, with approximately 7+ years' analytical experience, or a relevant Master's degree with approximately 6+ years' experience.
- At least 3 years' experience in credit pricing and/or provisioning.
- Strong, practical IFRS 9 provisioning / impairment modelling experience.
- Demonstrable experience developing models, rather than only consuming model outputs, running reports or producing dashboards.
- Experience in credit risk model development, monitoring or validation.
- Strong knowledge of Expected Credit Loss, provisioning and financial modelling.
- Previous leadership, people-management or supervisory experience.
- Experience engaging senior stakeholders and presenting complex analytical concepts clearly.
- Working capability in quantitative tools such as SAS, R, SQL and Python.
Qualifications (Minimum)
- Honours Degree in Mathematics or Statistics
Qualifications (Ideal or Preferred)
- Masters Degree in Mathematics or Statistics
Conditions of Employment
- Clear criminal and credit record