Quantitative Analyst

About the Role

Capitec is building a strengthened Quantitative Analytics capability within Enterprise Risk Management, andwe’re looking for a Senior and a Intermediate Quantitative Analyst to lead complex modelling work across ALM,liquidity risk, market risk and regulatory metrics. This role for a seasoned Quant who enjoys working close to the business translating strategy and regulatory requirements into robust, interpretable models that supportdecision‑making at the highest level.

Responsibilities

• Leading the design, development and ownership of quantitative risk models, with a strong focus on:
• Asset & Liability Management (ALM) Liquidity risk Interest Rate Risk in the Banking Book (IRRBB) Market risk and counterparty credit risk models
• Support enterprise and board‑level risk metrics, including capital adequacy, liquidity risk and regulatory reporting requirements
• Translate risk strategy and regulatory frameworks into practical, operational models and insights
• Work across the full model lifecycle - from data sourcing and preparation through to modelling, validation, interpretation and stakeholder engagement
• Partner closely with Risk, Treasury, Data Engineering and Senior Stakeholders to ensure models are fit‑for‑purpose and well understood
• Operate as a technical lead and subject‑matter expert, guiding best practice within the quantitative space

Requirements

• 5–7 years’ hands‑on experience in quantitative risk modelling within banking, financial services or risk consulting
• Strong experience building (not just using) quantitative models
• Proven exposure to regulatory capital and liquidity frameworks (ICAAP, ILAAP, LCR, NSFR, CAR)
• Experience with stress testing and economic capital modelling
• Strong programming skills in Python or R, with SQL for data extraction
• 7+ years’ experience in enterprise‑wide or Board‑facing quantitative roles
• Direct involvement in ICAAP / ILAAP or regulatory stress testing submissions
• Exposure to Basel III / IV interpretation and application
• Experience with A‑IRB credit risk models (PD, LGD, EAD) and advanced liquidity behavioural modelling
• Experience mentoring or technically guiding junior quants
• Minimum: Honours degree in Mathematics, Statistics or a related quantitative discipline
• Clear criminal and credit record

Preferred Qualifications

• Preferred: Master’s degree in Mathematics, Statistics, Engineering, Econometrics or Finance
• Professional certifications such as CFA, FRM or PRM are advantageous