Were looking for a skilled Predictive Modeler who can independently manage end-to-end modelling projects with precision and accuracy. The ideal candidate will have a proven track record of building at least three production-ready models that work with rands and cents, and can confidently predict customer payment behavior. What Youll Do: Design, develop, and deploy predictive models to forecast payment behaviors and identify high-risk customers. Utilize advanced machine learning techniques and statistical methods to improve model performance. Analyze large datasets to uncover insights and trends that drive business strategy. Collaborate with stakeholders to translate business requirements into robust, scalable modelling solutions. Present results and recommendations clearly to both technical and non-technical audiences. What Were Looking For: Minimum 3 years hands-on experience in predictive modelling. Proven ability to manage and optimize predictive models without supervision. Demonstrated experience building models that output precise monetary values (rands and cents). Expertise in machine learning algorithms (e.g., logistic regression, random forests, and gradient boosting). Proficiency in tools such as Python, R, SAS, and SQL. Strong data manipulation and analysis skills. Understanding of model governance, compliance, and monitoring processes. Disclaimer: If you do not hear back from us within two weeks, please consider your application for this vacancy unsuccessful. Your profile will be kept on our database for any other suitable roles in the future. We also invite you to reach out to us to discuss your next finance career opportunity.