Actuarial Analyst — Hybrid Work & Study Support

Placements24; Richards Bay; Hybrid; ZAR 540,000 - 900,000; Full time

Benefits offered by this job

Medical aid

Pension fund

Study support for actuarial exams

Hybrid work arrangement

Job summary

Placements24, on behalf of a leading insurer in Richards Bay, seeks an Actuarial Analyst to join the risk management team. You will apply mathematical and statistical methods to pricing, reserving, and forecasting, collaborating with finance, underwriting and claims to provide actuarial insights.

The role requires a relevant degree and progression toward actuarial qualifications, 2–4 years' experience in insurance, and proficiency in R, Python or SAS.

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field.
• Progress towards actuarial qualifications (e.g., SOA/IFOA) is desirable.
• Minimum 2–4 years of actuarial experience within the insurance industry.
• Proficiency in programming languages such as R, Python, or SAS, and experience with actuarial software.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Develop, implement, and maintain actuarial models for pricing, reserving, and forecasting.
• Analyze large datasets to identify trends, risks, and opportunities.
• Assist in pricing new insurance products across lines of business.
• Calculate and monitor statutory and management reserves.
• Conduct experience analyses, including mortality, morbidity, and lapse studies.

Skills

Analytical skills

Actuarial principles

Data-driven decision making

Communication skills

Team collaboration

Education

Bachelor's degree in Actuarial Science, Mathematics, Statistics

Tools

R

Python

SAS

Job description

Placements24, on behalf of a leading insurer in Richards Bay, seeks an Actuarial Analyst to join the risk management team. You will apply mathematical and statistical methods to pricing, reserving, and forecasting, collaborating with finance, underwriting and claims to provide actuarial insights.

The role requires a relevant degree and progression toward actuarial qualifications, 2–4 years' experience in insurance, and proficiency in R, Python or SAS.