Actuarial Analyst

Affinity Health; Johannesburg; On-site; ZAR 400 000 - 550 000; Full time

Job summary

A healthcare provider in Johannesburg is seeking an Actuarial Analyst to support actuarial valuations and regulatory returns. The role involves data management, model development, and collaboration with various teams. Candidates should have a Bachelor's degree in Actuarial Science, at least 2 years of experience in life insurance, and strong analytical skills. Proficiency in Excel and data extraction using SQL is essential, along with progress toward actuarial qualification.

Qualifications

• Minimum 2 years actuarial work experience in a life insurance environment.
• Exposure to SAM, IFRS 17, or other regulatory frameworks preferred.

Responsibilities

• Support the production of actuarial valuations and regulatory returns.
• Assist in calculating technical provisions and preparing internal valuation reports.
• Help maintain and enhance the actuarial data warehouse.
• Work with actuarial models to produce forecasts and scenario analyses.
• Communicate results clearly to both technical and non-technical stakeholders.

Skills

Strong analytical and problem-solving skills

Proficiency in Excel

Data extraction using SQL

Modelling in R or Python

Organisational skills

Detail-oriented

Deadline driven

Education

Bachelors degree in Actuarial Science or similar (SAQA-accredited)

Demonstrable progress toward actuarial qualification

Job description

Role Overview

As a Actuarial Analyst, you will work closely with the business and senior actuaries to :

• Support the production of actuarial valuations and regulatory returns (e.g., SAM, IFRS 17).
• Contribute to experience investigations, assumption setting, and reserve movement analysis.
• Assist in financial projections for budgeting, capital, and ORSA reporting.
• Perform data validation and ensure consistency of inputs used in actuarial models.
• Contributing to the development and maintenance of a central actuarial data warehouse , ensuring the team has reliable, well-structured data for reporting and modelling purposes.
• Collaborate with teams across Finance, Risk, Product Development, and Data Analytics.

Key Responsibilities

Valuations and Reporting

• Assist in calculating technical provisions and preparing internal valuation reports.
• Contribute to documentation of actuarial assumptions and methodologies.
• Contribute to experience investigations, assumption setting, and reserve movement analysis.
• Support regulatory submissions and statutory returns (QRT, ORSA)

Actuarial Data Management

• Help maintain and enhance the actuarial data warehouse.
• Ensure data quality, integrity, and consistency across actuarial datasets.
• Work with large datasets to identify trends and anomalies.
• Create and monitor data validation metrics to ensure data integrity
• Build and maintain the extract, transform and load (ETL) process form the business core systems.

Modelling and Analysis

• Work with actuarial models to produce forecasts, stress tests and scenario analyses.
• Assist in maintaining and updating actuarial models used for reserving and forecasting.
• Provide analytical support for product reviews, business planning, and management reporting and risk-based assessments.
• Assist in analysing the financial impact of business decisions, product changes, or external events.

Communication and Collaboration

• Communicate results clearly to both technical and non-technical stakeholders.
• Help prepare presentations and reports for senior management and committee meetings
• Liaise with finance, auditors, external actuarial functions, risk, and business operations to align data and reporting needs.

Minimum Qualifications

• Bachelors degree in Actuarial Science or similar (SAQA-accredited).
• Demonstratable progress toward actuarial qualification (exemptions or subjects passed) with Actuarial Society of South Africa (ASSA) or other recognised international body.

Experience

• Minimum 2 years actuarial work experience in a life insurance environment. (e.g., financial reporting, valuations).
• Exposure to SAM, IFRS 17, or other regulatory frameworks preferred.

Skills

• Strong analytical and problem-solving skills.
• Proficiency in Excel
• Data extraction using SQL
• Modelling in R or Python.
• Organisational skills to keep track of multiple projects.
• Detail-oriented with a commitment to high-quality work and documentation.
• Deadline driven

Please Note: If you have not received a reply within two weeks of your application. Please consider your application unsuccessful.