What you'll be doing: Conduct end-to-end model validations across multiple risk and business domains Build challenger models to assess model performance, robustness, and accuracy Evaluate model governance, assumptions, methodologies, and implementation Analyse large datasets to identify trends, risks, and opportunities Perform predictive modelling and statistical analysis Validate credit risk, financial, fraud, and behavioural models Collaborate with model developers and business stakeholders to ensure models remain fit-for-purpose Contribute to strong risk management practices and regulatory compliance What we're looking for: Minimum 36 years of experience in credit risk modelling and scorecard development Strong exposure to application and behavioural scorecards Experience in scorecard validation, monitoring, and performance tracking Proven predictive modelling and data mining capability Solid understanding of the end-to-end credit lifecycle Strong statistical and analytical problem-solving skills Ability to communicate complex findings to both technical and non-technical stakeholders Qualifications: Degree in Mathematics, Statistics, Actuarial Science, Data Science, Quantitative Finance, or a related quantitative field Honours degree or postgraduate qualification highly advantageous You'll thrive in this role if you are: Passionate about analytics and modelling Naturally curious and detail-oriented Comfortable with challenging assumptions and methodologies Skilled at translating data into meaningful insights Able to balance technical rigour with commercial understanding Motivated by solving complex business problems This is an outstanding opportunity for a quantitative professional looking to work on high-impact modelling initiatives while expanding their exposure across risk, predictive analytics, and model governance. Interested? Let's connect. For more information connect with us on