Johannesburg: Actuarial 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.