Analyst, Actuarial

About the Role

Responsible for providing financial projections, analysis, and assessments, and business insights pertaining to IFRS 17 reporting.

Key Responsibilities

Regular reporting and analysis (60%)

• Perform IFRS reporting tasks and take appropriate actions to address any potential issues in a timely and effective manner.
• Analyze OPAT drivers, CSM movements, and assist in providing explanations of financial results to local management and the Group Office.
• Support the preparation of management reports, business analysis, and reporting packs.
• Leverage data, automation, and emerging technologies, including AI-enabled solutions, to improve reporting processes, analytics, and operational efficiency.

System and model maintenance (30%)

• Maintain actuarial models and reporting systems to support financial reporting and business requirements.
• Support the implementation and maintenance of new products, model enhancements, and system changes, ensuring alignment with business and pricing requirements.
• Assist in system testing, model validation, reconciliations, user acceptance testing (UAT), and issue resolution.
• Document system and model changes, including preparation of change logs, testing evidence, and maintenance of governance documentation.
• Support ongoing improvements to actuarial systems, processes, and controls to enhance efficiency, reliability, and data quality.

Strategic planning and projects (10%)

• Support the annual strategic planning exercise, including enhancement of models for the budget exercise, and preparation of management reports and presentations.
• Support company projects and initiatives from a financial reporting perspective.

Minimum Job Requirements

• Education: University graduate (Major in Actuarial Science, Mathematics, Statistics, or related discipline).
• Experience: 0 to 2 years of life insurance-related actuarial working experience.
• Certifications/Licences: Progression in, or intention to pursue, professional actuarial examinations.
• Technical Skills: Knowledge of actuarial software and programming languages such as Python, R, VBA, SQL, or SAS would be an advantage.