Quantitative Credit Modelling Analyst

Recruiter

Network Recruitment

Job Ref

NFP016804/ZG

Date posted

Thursday, May 7, 2026

Location

Stellenbosch, South Africa

Salary

Annually

SUMMARY

A leading retail banking group is seeking a driven Quantitative Credit Modelling Analyst to join its Model Validation capability. This role is ideal for a technically strong professional who thrives on challenge, enjoys independent thinking, and wants to contribute to robust risk management and regulatory excellence.

POSITION INFO

You will form part of a specialised Model Validation team responsible for providing independent oversight of models used across the bank. These include models supporting credit risk, capital adequacy, financial forecasting, and fraud detection.

The role offers exposure across multiple modelling disciplines and gives you the opportunity to work end‑to‑end on validations, from conceptual review through to quantitative testing and final recommendations.

Key Responsibilities:

• Perform end‑to‑end validation of quantitative models across various banking domains
• Develop challenger models to assess model performance and robustness
• Review methodology, assumptions, data integrity, and governance frameworks
• Provide clear, professional validation opinions and recommendations
• Collaborate with technical and business stakeholders to resolve findings

Education

• Degree in Mathematics, Statistics, Actuarial Science, or Data Science

Experience

• 3–6 years’ proven experience in credit scorecard development, validation, and monitoring
• Experience with credit risk application and behaviour models and/or marketing scorecards
• Strong exposure to data mining, predictive modelling, and analytical techniques
• Solid understanding of the end to end credit lifecycle

Skills

• High attention to detail and the ability to manage multiple model types simultaneously
• Strong communication skills and a collaborative working style

For more exciting Actuarial and Analytics vacancies, please visit:

I also specialise in recruiting in the following:

• Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
• Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
• Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
• Pricing: Specialists in Insurance and Financial Products
• AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
• Quantitative: Experts across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:

Zahrah Gani

Specialist Recruitment Consultant

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