End Date: March 6, 2026
Job Description
Emblem Softeware Essential
Pricing Short Term Insurance Essential
Lead the design, development, and deployment of predictive models across underwriting, claims, and customer segmentation.
Integrate alternative and emerging data sources (e.g., geospatial, behavioral, and external risk datasets) to strengthen pricing accuracy and risk differentiation.
Champion model transparency and governance, ensuring ethical data use, strong documentation, and a rigorous peerÃÂâÃÂÃÂÃÂÃÂreview framework.
Collaborate closely with crossÃÂâÃÂÃÂÃÂÃÂfunctional teams - including underwriting, claims, product, IT, and distribution - to deliver highÃÂâÃÂÃÂÃÂÃÂimpact analytical and pricing solutions.
Partner with enterpriseÃÂâÃÂÃÂÃÂÃÂwide analytics and data science teams to align on modelling best practices and adopt cuttingÃÂâÃÂÃÂÃÂÃÂedge techniques and tools.
Mentor junior analysts experience
Role requirements
Nearly qualified actuary with 5+ years of actuarial or data science experience in pricing, risk, or analytics. Minimum 10 actuarial exams completed
Confirm current exam status and professional body membership (e.g. Actuarial Society of Sout Africa or Institute and faculty of Actuaries)
Clarify pricing vs reserving vs capital focus
Essential candidate must have built pricing models from first principles?
What modelling techniques were used?
What measurable business impact did the model deliver? Provide examples
Machi8ne Learning application:- Advanced modelling expertise, including GLMs, decision trees, machine learning, and ensemble methods. (Gradient Boosting, XGBoost)Please elaborate on what Libararies where used (e.g. pandas, scikit-learn, XGBoost)
Nature of use (automatio0n, ML, deployment)
Strong technical proficiency in R, Python, SQL, , Power BI, and actuarial platforms such as Emblem, Radar, and ResQ. (Experience with Earnix is a plus)
Commercial Translation Ability:- Demonstrated ability to transform complex datasets into actionable insights that drive business outcomes.
Excellent analytical, problemÃÂâÃÂÃÂÃÂÃÂsolving, and communication skills, with the ability to influence stakeholders and explain complex concepts clearly.
Exposure to regulatory frameworks (e.g. SAM) or IFRS 17 will be advantageous
Education
Masters Degrees (coursework and research): Mathematics (Required), Postgraduate Degrees and Professional Qualifications: Actuarial Science (Required)