Johannesburg: Technical Actuarial Manager – Life

This environment is practical, supportive, and big on collaboration. If youre someone who wants their work to matter, youll be right at home. Youll get exposure to modern platforms like AWS and SAS Viya, youll build real AI-driven solutions, and youll actually see your work deployed, not stuck in “experimental” forever. Key Responsibilities: Build and deploy statistical and machine learning models using SAS, Python, and SQL. Design AI-driven solutions that tackle complex, high-impact business problems. Manage the full data lifecycle: Sourcing, cleaning, prepping, analyzing, and storytelling through dashboards and visualizations. Break down messy, unstructured problems and map out clear, logical solutions. Work on modern cloud and analytics platforms, primarily AWS and SAS Viya. Job Experience and Skills Required: Honours, Masters, or PhD in a quantitative field (this is non-negotiable). Proven experience building and deploying machine learning and statistical models. Strong data-wrangling abilities and comfort working with large datasets. Exposure to cloud environments (preferably AWS) and analytics platforms (e.g., SAS Viya). Experience creating dashboards or data visuals using tools such as SAS Visual Analytics. Strong hands-on ability in SAS, Python, and SQL. Sharp analytical thinking and the ability to explain insights clearly. A naturally curious mindset and comfortable working closely with business stakeholders. High ownership, teamwork, and a genuine love for solving tough problems. Must be someone who enjoys collaboration, contributes to team success, and isnt scared to ask “why?” or challenge ideas constructively. Apply now! For more exciting Finance vacancies, please visit: