Quantitative Analyst
Network Recruitment Stellenbosch
This is an opportunity for a highly skilled Senior Quantitative Analyst / Machine Learning Specialist to take ownership of complex, high-impact models across credit risk, financial crime, and advanced behavioural analytics.
What Youll Be Doing:In this role, you will be at the centre of advanced analytics and model risk management:
- Independently validate and assess machine learning models across:
- Credit risk modelling
- Customer behaviour and propensity models
- Fraud detection and AML (financial crime) models
- Work hands-on with advanced ML techniques, including:
- Ensemble methods (XGBoost, CatBoost, and Random Forest)
- Neural networks
- Clustering and anomaly detection models
- Manage the full model lifecycle:
- Data preparation and feature engineering
- Model development, evaluation, and optimisation
- Deployment support and performance monitoring
- Build and review models in Python-based environments using large, complex datasets
- Partner with Risk, Technology, and Business teams to ensure that models are robust, scalable, and production-ready
- Provide technical leadership and mentorship to junior analysts and data scientists
- Ensure compliance with model governance, validation standards, and risk frameworks
What You Bring:
- 68+ years experience in quantitative analytics, data science, or machine learning
- Strong end-to-end model development experience in Python
- Advanced knowledge of SQL and large-scale data handling
- Proven experience with:
- Boosting algorithms (XGBoost and CatBoost)
- Neural networks
- Clustering and anomaly detection
- Exposure to credit risk, behavioural analytics, or financial crime modelling
- Experience in model validation, peer review, or model risk management
- Strong ability to balance technical depth with stakeholder engagement
Qualifications:
- Honours or Masters degree in Mathematics, Statistics, Computer Science, Actuarial Science, or a related quantitative field
Bonus Experience (Highly Valued):
- Experience leading or mentoring ML teams
- Exposure to regulated financial environments
- Cloud-based model deployment experience
- Credit scoring, IFRS-related analytics, or scorecard modelling
- Familiarity with model governance frameworks
Why This Opportunity?:
- Work on real-world, high-impact models used across the business
- Exposure to a wide range of modelling applications (not siloed work)
- Strong mentorship from senior quantitative leaders
- A culture that values ownership, simplicity, and innovation
- Long-term career growth in a rapidly scaling analytics environment
Requirements:
- Clear credit and criminal record
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