Quantitative Analyst at Capitec Bank

About The Opportunity

• Capitec Business Bank is growing rapidly, and so is our need for rigorous, independent model validation. We are looking for a senior quantitative specialist to lead the independent validation of all models developed and used in our Business Bank, spanning credit scorecard models (granting, behavioural and collections), IFRS 9 provisions, regulatory capital, pricing and business forecasting. You will conduct thorough, independent model validations in line with applicable standards, frameworks and regulatory requirements. In this role you will apply deep technical expertise across the full suite of Business Bank models, providing credible, well-reasoned validation findings that inform model approvals, risk ratings, and remediation plans.

The Model Scope
You will conduct independent validation across all Business Bank models, including: 

• Credit scorecard models: granting scorecards, behavioural scorecards, and collections scorecards 
• Credit pricing models 
• IFRS 9 Expected Credit Loss (ECL) / provisions models: PD, LGD and EAD components; staging logic and forward-looking adjustments 
• Regulatory capital models: credit risk capital under standardised and IRB approaches (Basel III/IV) 
• Business forecasting models: credit loss forecasting, portfolio growth projections, and stress-testing models

Experience Required

• Expert-level model development and/or independent model validation across all major credit risk model types 
• Conducting model validation reviews and producing high-quality validation reports with clear risk-rated findings 
• Engaging model owners and senior stakeholders to communicate technical findings and drive remediation 
• Quality assurance of models and contributing to peer reviews of others' work 
• Working within a model risk governance or model risk management environment 

Qualifications

• Master's degree in Actuarial Science, Mathematics, Statistics, Engineering, Computer Science or a related quantitative/STEM field + minimum 6 years' relevant experience; OR 
• Honours degree in a quantitative/STEM field + relevant technical qualifications (e.g. FRM, PRM, or equivalent) + minimum 8 years' relevant experience 
• Experience must include hands-on model development or independent model validation in a regulated financial institution 

Technical Skills

• Advanced modelling techniques applied to credit risk: logistic regression, survival analysis, Markov chains, linear regression 
• SQL, Python, R, and/or SAS at an expert level for model replication, testing, and analysis 
• Power BI or equivalent: building and interpreting model performance monitoring dashboards 
• Understanding of model governance practices: model risk rating, validation documentation standards, and MRM committee reporting 

Domain Knowledge

• Deep credit risk knowledge: scorecard development and/or validation (granting, behavioural, collections), PD/LGD/EAD modelling, IFRS 9 ECL frameworks, staging logic and forward-looking adjustments 
• Regulatory capital: Basel III/IV credit risk capital under standardised and/or IRB approaches 
• Business forecasting and stress testing in a banking context 
• Expert-level understanding of modelling techniques: logistic regression, survival models, and Markov chainsRegulatory environment: IFRS 9, Basel III/IV, SARB/PA model risk guidance, NCR, POPIA