Key Responsibilities
Insights & Data Analytics
- Prepare and update reinsurance reports, improving and automating existing processes, and supporting monthly and quarterly close cycles.
- Maintain and manage reinsurance databases covering premiums, claims, and participation.
- Enhance data quality to support performance monitoring and continuous improvement initiatives.
- Review both internal and external reinsurance reports and accounts.
- Support renewal processes through data packs, programme reviews, and scenario analysis, working closely with key stakeholders.
- Present findings and insights to internal and external senior stakeholders when required.
- Provide support to other departments as needed.
Operational
- Assist in reviewing and accurately recording reinsurance programmes and associated terms.
- Produce and manage claims notifications for excess of loss programmes, including related cash flows.
- Process premiums, claims recoveries, cash allocations, and settlements in accordance with established procedures and reporting standards.
- Liaise with reinsurers and brokers on claims notifications, settlements, and ad hoc queries.
- Review, validate, and reconcile bordereaux as well as reinsurer and broker reports.
- Ensure all activities comply with regulatory requirements, audit standards, and internal policies.
- Maintain process and procedure documentation in line with internal control frameworks.
Requirements:
- Third-level qualification in science, mathematics, or an insurance-related discipline is advantageous
- 2-3 years’ experience in a reinsurance environment is advantageous, other background will be considered
- Knowledge of coverage, accounting, and claims processes.
- Strong SQL skills, including the ability to write queries, with a willingness to further develop technical expertise.
- Excellent analytical, problem-solving, and decision-making capabilities.
- Experience handling large data sets, including data manipulation and cleansing.
- Proficiency in Microsoft Office applications (Excel, Word, PowerPoint, etc.).
- Familiarity with data visualisation tools such as Tableau.
- Strong communication, presentation, and interpersonal skills.
- Self-driven with the ability to work independently and a proactive approach to learning and development.
- Ambitious and self-aware, with a willingness to grow and take on increasing responsibility over time.
- Team-oriented, supporting a collaborative environment within a small team.
- Strong attention to detail with a focus on quality, accuracy, and continuous improvement.
- Effective organisational, planning, and problem-solving skills.
- Clear and concise written and verbal communication, with the ability to explain complex findings.
- Strong relationship-building skills and the ability to work proactively with internal and external stakeholders.
