Stellenbosch: Model Validation Lead â Data Science

September 19, 2025 Jobs in Cape Winelands

Stellenbosch: Model Validation Lead â Data Science

Posted on 2025-09-19 00:00:00

Employer	Unspecified
Category	Accounting / Finance
Location	Cape Winelands / Stellenbosch

Job Summary

Join a leading, innovation-driven financial services group that is reshaping the way banking is experienced. The business is committed to empowering clients through simplified, accessible, and client-first banking solutions and to achieve that, they hire only the best people. As the Model Validation Lead , youll play a critical role in ensuring the accuracy, reliability, and governance of models across credit, finance, and fraud risk domains. Youll work in a high-impact environment, collaborate with talented Data Scientists and stakeholders, and provide technical expertise that influences key business decisions. Whats In It For You?: Opportunity to work with cutting-edge AI and machine learning models A culture that values innovation, collaboration, and ownership Mentorship and leadership opportunities as you guide and grow a team of Analysts Direct involvement in business-critical risk and strategy decisions Key Responsibilities: Lead independent validations across a range of models, including credit risk, operational optimisation, financial crime, and marketing. Design and implement challenger models using advanced machine learning methods. Partner with Model Developers and stakeholders to provide technical assurance and effective challenge. Mentor Junior Analysts, supporting their professional and technical growth. Contribute to the development of model governance frameworks and best practices. Job Experience and Skills Required: Education: Minimum: Honours Degree in Mathematics, Statistics or Data Science Preferred: Masters Degree in Mathematics, Statistics or Data Science Experience: 6 years proven experience in model development (direct model validation experience IS an advantage). Exposure to governance, regulatory compliance, and risk management. Proven track record of mentoring and leading junior analysts. Skills: Strong technical expertise in machine learning techniques (tree-based methods, neural networks, clustering, AND anomaly detection). Skilled in Python/R and experience with cloud platforms (AWS preferred). Ability to present findings and influence senior stakeholders. Able to work independently and manage multiple validation projects end-to-end. Apply now! For more exciting Finance vacancies, please visit:

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