Quantitative Analyst

Recruiter

Network Recruitment

Job Ref

NFP016946/IV

Date posted

Thursday, July 9, 2026

Location

Stellenbosch, South Africa

SUMMARY

Drive the future of Machine Learning and Quantitative Risk Analytics at a leading financial services organization. This is an opportunity for a technically strong Quantitative Analyst to lead the validation of high-impact machine learning models while working on cutting-edge analytics solutions.

POSITION INFO

Key Responsibilities: Lead the independent validation of machine learning and predictive models across credit risk, financial crime, fraud, AML, and behavioural analytics. Review and validate the end-to-end model lifecycle, including feature engineering, model development, training, evaluation, deployment, and monitoring. Assess and challenge advanced machine learning methodologies, including boosting algorithms, neural networks, clustering techniques, and anomaly detection models. Build, review, and test quantitative models within Python-based environments. Monitor and manage model risk, ensuring compliance with governance and validation standards. Job Experience and Skills Required: Honours or Master's Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Data Science, or a related quantitative field. Experience: 6-8+ years' experience within Quantitative Analytics, Machine Learning, Data Science, Model Validation, or Risk Analytics. Proven experience developing and validating machine learning models end-to-end. Experience within Credit Risk, Financial Crime, Fraud Analytics, AML, Propensity Modelling, or related quantitative environments. Skills: Advanced Python programming skills. Strong SQL skills with experience working on large and complex datasets. Hands-on experience with machine learning techniques including: XGBoost CatBoost Random Forest Neural Networks Clustering Anomaly Detection Apply now! For more exciting Finance 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: Irene Venter Recruitment Consultant