Life Insurance Actuarial Analyst — Pricing & Modelling

Placements24; Polokwane; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Health insurance for actuarial staff

Study support for actuarial exams

Job summary

Placements24 in Polokwane is seeking an Actuarial Analyst to join the Life Insurance division. You will apply mathematical and statistical methods to pricing, reserving, and forecasting financial outcomes, collaborating with underwriting, product development, and finance teams.

The role requires a degree in actuarial science or related field, progression toward FIA/FSA, 2+ years life insurance experience, and strong skills in R, Python, SQL.

Qualifications

• Bachelor’s degree in Actuarial Science or related quantitative field.
• Progress towards FIA/FSA with at least three exams completed.
• 2+ years’ life insurance actuarial experience.
• Strong analytical, problem-solving and modeling skills.
• Proficiency in R, Python, SQL and actuarial software.
• Excellent verbal and written communication.

Responsibilities

• Develop and maintain actuarial models for pricing, reserving, and forecasting of life insurance products.
• Analyze policy data for mortality, morbidity, and lapse rates.
• Support development and pricing decisions with actuarial insights.
• Value liabilities and ensure regulatory reporting compliance.
• Collaborate with underwriting, finance and product teams.

Skills

Analytical thinking

Problem solving

Modeling skills

Communication skills

Education

Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field

Progress towards FIA/FSA with 3 exams

Tools

R

Python

SQL

Actuarial software

Job description

Placements24 in Polokwane is seeking an Actuarial Analyst to join the Life Insurance division. You will apply mathematical and statistical methods to pricing, reserving, and forecasting financial outcomes, collaborating with underwriting, product development, and finance teams.

The role requires a degree in actuarial science or related field, progression toward FIA/FSA, 2+ years life insurance experience, and strong skills in R, Python, SQL.