Permanent
Senior Quantitative Analyst (Machine Learning & Model Validation)
Unknown, Unknown
unknown
Closing date not listed
About this role
Tourism/Hospitality - Tourism/Hospitality Management
Johannesburg North
FULL TIME
Job Summary
You will operate in a highly collaborative environment where analytics is deeply embedded into decision-making and where models are expected to be robust, scalable, and production-ready.
What You’ll Be Doing:
In this role, you will take ownership of advanced model validation and quantitative risk analysis:
* Independently validate machine learning models across:
+ Credit risk modelling
+ Customer propensity and behavioural modelling
+ Fraud detection and AML (financial crime) models
* Apply advanced machine learning techniques, including:
+ Supervised learning (XGBoost, CatBoost, Random Forest, Neural Networks)
+ Unsupervised learning (clustering, anomaly detection, isolation forests)
* Manage the full model lifecycle:
+ Feature engineering and data preparation
+ Model training, evaluation, and selection
+ Deployment support and ongoing performance monitoring
* Build, review, and challenge models in Python-based environments using large, complex datasets
* Lead technical discussions and provide mentorship to junior analysts and data scientists
* Collaborate closely with Risk, Technology, and Business stakeholders to ensure alignment
* Ensure models meet governance, performance, and scalability standards across the organisation
What We’re Looking For:
* 6–8+ years’ experience in quantitative analytics, data science, or machine learning
* Strong end-to-end model development experience using Python
* Advanced SQL skills and experience working with large datasets
* Deep experience in techniques such as:
+ Gradient boosting (XGBoost, CatBoost)
+ Neural networks
+ Clustering and anomaly detection
* Experience in credit risk, behavioural analytics, or financial crime modelling
* Exposure to model validation, peer review, or model risk frameworks
* 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
Preferred Experience:
* Experience leading or mentoring data science / ML teams
* Exposure to regulated financial environments
* Cloud-based model deployment experience
* Credit scoring, IFRS analytics, or scorecard modelling exposure
* Familiarity with model governance and validation standards
Why Join?:
* Work on high-impact models used across a major banking environment
* Exposure to a wide variety of modelling applications (not siloed work)
* Strong mentorship from experienced quantitative and risk leaders
* A culture built on simplicity, ownership, and transparency
* Excellent long-term career growth and learning opportunities
Requirements:
* Clear criminal and credit record
For more exciting Actuarial & Analytics vacancies, please visit:
https://www.networkrecruitmentinternational.com
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
Connect with me on LinkedIn:
https://www.linkedin.com/in/kholo-v-mongalo-233541131
Network Finance
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