Remote Insurance Actuarial Analyst — Pricing & Reserving

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

Benefits offered by this job

Competitive salary

Health insurance

Retirement planning

Education support

Fully remote work

Innovative team environment

Job summary

Placements24 seeks an analytical Insurance Actuarial Analyst to join a forward-thinking team from a remote location, supporting pricing, reserving, and risk management.

You will work with large datasets, build models in R/Python/SQL, and collaborate with underwriting, claims, and finance to translate data into actionable insights that strengthen financial health.

Progress toward FIA/FSA exams and strong communication are essential; prior insurance actuarial experience is advantageous.

Qualifications

• Progress towards FIA, FSA, or equivalent actuarial exams.
• Strong mathematical, statistical, and analytical skills.
• Proficiency in actuarial software and programming (R, Python, SQL) and Excel.
• Excellent problem-solving and attention to detail.
• Good communication to explain complex actuarial concepts to non-technical audiences.
• Previous experience in insurance actuarial roles is advantageous.

Responsibilities

• Develop and maintain actuarial models for pricing, reserving, and forecasting.
• Analyze large datasets to identify trends, risks, and opportunities related to insurance products.
• Assist in regulatory filings and financial reporting.
• Evaluate the financial implications of new product development and business initiatives.
• Perform sensitivity analyses and scenario testing to assess risk exposure.
• Collaborate with underwriting and claims teams to refine risk assessment and management strategies.

Skills

Actuarial exams

Mathematics

R

Python

SQL

Excel

Analytical thinking

Communication

Insurance actuarial experience

Tools

R

Python

SQL

Excel

Job description

Placements24 seeks an analytical Insurance Actuarial Analyst to join a forward-thinking team from a remote location, supporting pricing, reserving, and risk management.

You will work with large datasets, build models in R/Python/SQL, and collaborate with underwriting, claims, and finance to translate data into actionable insights that strengthen financial health.

Progress toward FIA/FSA exams and strong communication are essential; prior insurance actuarial experience is advantageous.