Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise the possibilities on our continent and beyond.
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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 peer‑review framework.
Collaborate closely with cross‑functional teams - including underwriting, claims, product, IT, and distribution - to deliver high‑impact analytical and pricing solutions.
Partner with enterprise‑wide analytics and data science teams to align on modelling best practices and adopt cutting‑edge 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, problem‑solving, 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)
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