Validation Analyst (Decision Science)

This innovative and client-focused financial services group is redefining banking to make it simple, accessible, and personal. Theyre on a mission to build the best bank in the world and they need energetic, self-motivated professionals who want to make a real impact. As a Model Validation Analyst , youll work in a high-performing Decision Science team, taking end-to-end ownership of model validations, building challenger models, and ensuring compliance with risk management and regulatory standards. Why You Should Join: Be part of a company that invests in people, culture, and innovation Work on a diverse range of models across credit, finance, fraud, and capital Collaborate with some of the brightest minds in data science and risk Access to growth opportunities, training, and a supportive team culture Key Responsibilities: Perform independent validations of credit risk, finance, and fraud detection models Build and implement challenger models to ensure robustness and accuracy Partner with Model Developers and business teams to provide technical challenge and assurance Monitor model performance, identify risks, and contribute to framework improvements Job Experience and Skills Required: Education: Minimum: Degree in Mathematics, Statistics, Actuarial Science, or Data Science Preferred: Honours Degree in Data Science, Statistics, Mathematics, or Actuarial Science Experience: 36 years of scorecard building and validation experience (credit risk, behavioural, or marketing models) Proven experience with data mining and predictive modelling Deep understanding of the credit lifecycle Previous exposure to regulatory requirements and model governance an advantage Skills: Strong analytical and problem-solving skills Proficiency in SQL, Python, or R Excellent stakeholder engagement and communication abilities High attention to detail and the ability to work independently Apply now! For more exciting Finance vacancies, please visit:

Location: Stellenbosch, ZA

Posted Date: 10/14/2025