Actuarial Data Analyst

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.

Candidate Requirements

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.