Actuary, Distribution Analytics & Insights

Discovery Limited; Sandton; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Discovery Limited, via Discovery Invest, seeks a Fellow actuary or near-qualified professional to optimise distribution remuneration and analyse churn experience. You will build MI dashboards, support pricing decisions, and translate complex analytics into clear guidance for senior leadership.

Role demands 5–10 years in Invest or life/financial services, strong SQL and Tableau skills, and a proactive, self-driven approach to drive strategic data initiatives.

Qualifications

• Fellow actuary or nearly qualified.
• 5–10 years’ Invest, Life insurance or other relevant financial industry experience.
• SQL database experience.
• Data visualization software (Tableau).
• Advantageous: ML/ regression models, R and/or Python.
• Experience with software testing or system implementation is a plus.

Responsibilities

• Analyse adviser and franchise net business flows to optimise remuneration structures.
• Monitor adviser replacement and churning behaviour across products.
• Contribute to product innovation and development using data analysis.
• Provide ongoing actuarial and analytical support for production queries.
• Apply actuarial expertise to complex business problems.
• Develop and maintain MI dashboards and data visualisation solutions.
• Support strategic data analytics initiatives and BI projects.
• Executive communication translating complex trends into actionable advice.

Skills

Executive communication

Self-starter

Education

Fellow actuary or nearly qualified

Tools

SQL

Tableau

R/Python

VBA

Job description

Discovery Limited, via Discovery Invest, seeks a Fellow actuary or near-qualified professional to optimise distribution remuneration and analyse churn experience. You will build MI dashboards, support pricing decisions, and translate complex analytics into clear guidance for senior leadership.

Role demands 5–10 years in Invest or life/financial services, strong SQL and Tableau skills, and a proactive, self-driven approach to drive strategic data initiatives.