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 Recruiter