- Evaluate and analyze reinsurance treaties and arrangements for retail and group business to ensure terms align with the company’s risk appetite and financial objectives.
- Support the negotiation and placement of reinsurance deals, coordinating with brokers and reinsurers to secure advantageous terms and conditions.
- Monitor the performance of reinsurance contracts, ensuring compliance with contractual obligations and identifying opportunities for optimization.
- Work closely with underwriting teams to assess policyholder risk profiles and determine appropriate reinsurance coverage.
- Conduct regular reviews of reinsurance strategies and make recommendations based on emerging trends, regulatory changes, and market conditions
- Prepare periodic reports and presentations for senior management, highlighting reinsurance program performance, key metrics, and strategic insights.
- Maintain accurate documentation of reinsurance activities, including detailed analysis of treaty terms, pricing methodologies, and claims experience.
- Foster relationships with reinsurers, brokers, and internal stakeholders to facilitate effective communication and collaboration.
- Stay abreast of industry developments, trends, and best practices in reinsurance and actuarial science.
Bachelor’s degree in Actuarial Science, Mathematics, Finance, or a related field.1-2 years of experience in reinsurance or actuarial function specifically within life insurance or related fields.Progress towards actuarial certification (e.g., Associate or Fellowship in the Society of Actuaries) is preferred, or a strong commitment to achieving certification.Prior experience in reinsurance analysis, actuarial work, or risk management within the insurance industry is highly desirable.Strong understanding of both retail and group insurance markets, products, and reinsurance arrangements.Proficiency in actuarial software (e.g., Prophet, MoSes) and statistical programming languages (e.g., R, Python).Excellent analytical skills, with a strong ability to interpret complex data and make informed decisions.Strong verbal and written communication skills, with the capability to present findings to both technical and non-technical audiences.Ability to manage multiple priorities and meet deadlines in a fast-paced environment.Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) and data analysis tools.