Quantitative Analyst

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Date: 6 May 2026

Location: Stellenbosch, ZA

Company: Capitec Bank Ltd

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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below.

Join A Growing Quantitative Risk Capability!

At Capitec, data and machine learning are core to how we build smarter, fairer financial solutions. As our Business Bank and credit capability continues to grow, we’re strengthening our advanced analytics leadership to ensure our models are robust, scalable, and production‑ready. 

We’re looking for a senior Machine Learning and Data Science Analyst to independently validate high‑impact models across credit risk, financial crime, and advanced analytics use cases. 

This is a hands‑on technical role.

What You'll Be Doing

  • Leading the independent validation of machine learning models across: 
    • Credit risk models
    • Propensity and behavioural models
    • Financial crime models (fraud and AML)
  • Applying advanced ML techniques, including: 
    • Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)
    • Unsupervised learning (clustering, isolation forests)
  • Managing model risk across the end‑to‑end model lifecycle, including: 
    • Feature engineering and data preparation
    • Model training, evaluation, and selection
    • Production deployment and monitoring
  • Building and reviewing models in Python‑based environments 
  • Leading and mentoring analysts and junior data scientists 
  • Partnering closely with Risk, Technology, and Business stakeholders 
  • Ensuring models meet governance, performance, and scalability standards

What We Are Looking For

  • 6–8+ years relevant experience, with demonstrated technical leadership  
  • Strong hands‑on experience building machine learning and data science models end‑to‑end 
  • Proven use of techniques such as:  
  • Boosting algorithms (XGBoost, CatBoost) 
  • Neural networks 
  • Clustering and anomaly detection 
  • Advanced proficiency in Python 
  • Solid experience with SQL and working with large, complex datasets 
  • Ability to lead technically while remaining actively involved in modelling work 
  • Experience within credit risk, propensity modelling, or financial crime analytics 
  • Experience with independent validation of models and/or detailed peer review 
  • Proven experience researching machine learning models 

Qualifications

  • Honours or Master’s degree in Mathematics, Statistics, Computer Science, Actuarial Science, or a related quantitative field 

Preferred/ Ideal

  • Experience leading or building ML teams in a regulated environment 
  • Experience deploying or supporting models in cloud environments 
  • Exposure to credit risk modelling, scorecards, or IFRS‑related analytics 
  • Financial crime (fraud or AML) modelling experience 
  • Experience designing models with scalability and deployment in mind 
  • Familiarity with model risk, governance, or validation standards 

Why Join Capitec?

  • Work on high‑impact, real-world models used across the bank
  • Exposure to a wide variety of models, not just one product or portfolio
  • Learn from experienced quantitative leaders in a collaborative environment
  • Be part of a fast-growing organisation that values simplicity, transparency, and ownership
  • Competitive rewards, learning opportunities, and long-term career growth 

Conditions of Employment

  • Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.