Johannesburg: Predictive Risk Storyteller

Key Responsibilities: – Design and develop robust application scorecards using advanced methodologies like reject inference. – Lead feature engineering projects to enhance accuracy, interpretability, and commercial value. – Collaborate with business and executive stakeholders to align scoring models with strategic priorities. – Drive the innovation of predictive models in low-data environments, especially for SME lending. – Mentor and inspire junior data professionals to achieve technical excellence. – Lead multiple projects with efficiency and precision, ensuring quality and business impact. Job Experience and Skills Required: – BSc/BCom in Mathematics, Statistics, Actuarial Science, Data Science, or Engineering. – 8 years hands-on experience in application scoring, credit risk, or predictive analytics. – Proven success in developing, validating, and deploying application scorecards. – Strong technical command of SAS (required); Paragon Modeler experience a plus. – Demonstrated expertise in feature engineering and model optimisation. – Confident communicator with a knack for translating technical insights into business action. – Leadership experience in guiding teams and influencing senior stakeholders. Preferred Attributes: – Experience in SME lending, fintech, or alternative credit scoring. – Understanding of behavioural modelling and PD model design. – Exposure to machine learning techniques in scoring. – Comfortable in agile, collaborative, and innovation-driven teams. Why Join Us? – Work on high-impact, multi-industry projects that shape how businesses assess risk. – Join a collaborative and forward-thinking data science team. – Hybrid work model offering flexibility and balance. – Make your mark in a space where analytics truly drive strategy. Apply now! For more exciting Finance vacancies, please visit: