Actuarial Data Analyst

Key performance areas:

• Data analysis and interpretation.
• Risk assessments and management.
• Actuarial modelling and forecasting.
• Cross functional collaboration.
• Communication and reporting.
• Strategic decision support.
• Stakeholder engagement.
• Documentation and compliance.

• Study statistical data to create analyses on product performance.
• Analyse data to identify trends and patterns that impact decision-making.
• Support the actuarial first-line team in the preparation of the statutory returns.
• Support the actuarial first-line team in the pricing, profit testing and viability analysis of new products or enhancements on existing products.
• Support the actuarial first-line team in producing the financial projections for budgeting, ORSA and any other similar risk reporting requirements.
• Use a variety of predictive models to project outcomes, such as future events, claims ratios, risks events, or financial performance.

• Develop estimates for the probability and cost of any events that can affect the sustainability, profitability or viability of the company’s products and business.
• Assess the financial risks that a company may face, using statistical and mathematical techniques.
• Propose strategies or solutions to mitigate risks.

• Create mathematical models to predict outcomes and assess risks on an ongoing basis.
• Develop models to predict claims settlement scenarios to better inform solvency and liquidity requirements.
• Provide accurate forecasts to inform business of policy decisions.

• Work with economists, accountants, compliance officers and financial advisors to create aligned financial strategies.
• Collaborate with other departments to understand data-driven needs and integrate insights into actionable plans.

• Generate visual tools (charts, models, and tables) to represent findings effectively.
• Present complex statistical and financial data in a simplified manner to non-technical audiences.
• Provide actionable recommendations based on analysis and explain them to stakeholders.
• Provide support and assistance with regulatory reporting requirements from the Authorities or any other authority as required by the company.

• Analyse reports and data to recommend next steps for a company or client.
• Support strategic decisions with evidence-based insights.
• Monitor the outcomes of implemented strategies and refine models accordingly.

• Regular interaction with senior management, clients, regulators, or auditors.
• Ability to clearly communicate technical findings to non-technical audiences.

• Maintain accurate documentation of methodologies, models, assumptions and analysis.
• Ensure compliance with industry standards and regulations in financial reporting and analysis.

• Matric
• A degree in Actuarial Science (SAQA ACCREDITED)
• Passed or been exempted from at least the A- series subjects of the Actuarial Society of South Africa.

• Three years’ 3 experience in financial reporting for Life insurance companies.
• Registered with the relevant professional bodies of Actuarial Scientists of SA.
• 3 - 5 years’ experience in multiple actuarial functions, such as pricing, reserving, risk management, economic analysis and financial modelling.
• Experience in using actuarial insights to inform business strategies, underwriting decisions, or financial planning.
• Participation in high-level decision-making, such as product development, product sustainability or mergers and acquisitions

• Knowledge of statistics, probability, and calculus.
• Strong written and verbal communication skills to clearly relay information to others.
• Analytical skills.
• Knowledge of regulations such as Solvency II, IFRS 17, or equivalent.
• Experience with computers and statistical modelling software.
• Advanced skills in programming and data analysis tools.
• Knowledge of business and financial concepts.
• Organisational skills to keep track of multiple projects.
• Knowledge of predictive analytics, machine learning, and modern data visualisation tools (e.g., Power BI, Tableau).

• High regard for accuracy and attention to detail
• Strong commitment to confidentiality
• Strong leadership
• Strong interpersonal skills
• Excellent communication
• Problem solving
• Team Player
• Honest, Hardworking and Humble