Reinsurance Analyst – Actuarial
Katameya, CairoPosted 5 months ago61Applicants for1 open position
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Job Description
- 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.
Job Requirements
- 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.
