Actuarial Analyst - Life Insurance

Placements24; Vereeniging; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Completely remote work

Health, dental, and vision insurance

Actuarial exam support

Advanced analytical tools access

Job summary

Placements24 is seeking an Actuarial Analyst for a fully remote role within the life insurance division. You will build pricing, reserving, and forecasting models, and analyze large datasets to uncover trends and risks that influence product profitability.

The role requires a quantitative degree, progress toward actuarial exams, and proficiency in R, Python, SQL, and SAS. Excellent communication and the ability to work independently in a remote setting are essential.

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related quantitative field.
• Progress towards or completion of actuarial exams (e.g., SOA, CAS).
• Proficiency in actuarial software and programming languages (R, Python, SQL, SAS).
• Strong analytical, problem-solving, and quantitative skills.
• Excellent communication skills, able to explain complex concepts to non-actuaries.
• Proven ability to work independently in a fully remote capacity.

Responsibilities

• Develop and maintain actuarial models for pricing, reserving, and forecasting life insurance products.
• Perform statistical analysis of large datasets to identify trends, risks, and opportunities.
• Assist in development and refinement of new insurance products and features.
• Support valuation of policy liabilities and assessment of capital requirements.
• Ensure compliance with actuarial standards and regulatory requirements.
• Collaborate with finance, product development, and risk management.

Skills

Quantitative skills

Analytical thinking

Communication

Education

Bachelor's degree in Actuarial Science/Math/Statistics

Tools

R

Python

SQL

SAS

Job description

About the Role

Our client is seeking a highly analytical and motivated Actuarial Analyst to join their esteemed life insurance division, operating remotely. This position is integral to the financial health and strategic planning of the company, focusing on risk assessment, pricing, and financial modeling. You will utilize sophisticated statistical techniques and data analysis to inform critical business decisions, contributing to product development and profitability. This role is ideal for a dedicated professional who thrives in a challenging, intellectually stimulating, and fully remote environment, working with cutting-edge tools and a team of experienced actuaries.

Key Responsibilities

• Develop and maintain actuarial models for pricing, reserving, and forecasting of life insurance products.
• Perform statistical analysis of large datasets to identify trends, risks, and opportunities.
• Assist in the development and refinement of new insurance products and features.
• Support the valuation of policy liabilities and the assessment of capital requirements.
• Ensure compliance with actuarial standards of practice and regulatory requirements.
• Collaborate with other departments, including finance, product development, and risk management.

Requirements

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
• Progress towards or completion of actuarial exams (e.g., SOA, CAS).
• Proficiency in actuarial software and programming languages (e.g., R, Python, SQL, SAS).
• Strong analytical, problem-solving, and quantitative skills.
• Excellent communication skills, with the ability to explain complex technical concepts to non-actuaries.
• Proven ability to work effectively and independently in a fully remote capacity .

Benefits

• Exceptional salary package, highly competitive within the actuarial field.
• Completely remote work arrangement, offering significant work-life balance benefits.
• Comprehensive health, dental, and vision insurance.
• Generous support for actuarial exam progression and professional development.
• Access to advanced analytical tools and a stimulating professional environment.