Quantitative Analyst

Recruiter

Network Recruitment

Job Ref

NFP016803/KM

Date posted

Thursday, May 7, 2026

Location

Stellenbosch, South Africa

SUMMARY

We are partnering with a fast-growing, data-driven financial institution that is redefining how analytics, machine learning, and risk modelling shape smarter and fairer credit and banking decisions.

POSITION INFO

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 You’ll 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:

• 6–8+ 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 Master’s 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

Apply now!

For more exciting Actuarial & Analytics vacancies, please visit:

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I also specialize in recruiting:

• Actuarial (Life, Short‑Term, Pensions, Health, Quant)
• Data Science & Advanced Analytics
• Pricing & Product Modelling
• Market, Credit & Quantitative Risk
• Machine Learning & AI Specialists

If you have not received a response within two weeks, please consider your application unsuccessful. Your profile will remain on our database for future opportunities.

For more information, contact:

Kholo Mongalo

Recruitment Researcher – Actuarial & Analytics