Structuring and Analytics Lead

This key role is responsible for the AXA XL reinsurance strategy definition and the design of the AXA XL ceded programs in collaboration with the One Ceded Re team of AXA on one of our subject risks (as e.g., Property incl. CAT, Long-tail, Specialty), depending on your area of expertise and our needs.

• Work with all AXA XL stakeholders and AXA Group to participate in the definition of the placement strategy and support the effective execution of the placement of the treaty program
• Participate in the definition of the ceded guidelines for the placement by the business of Facultative (both elective and non-elective) reinsurance
• Participate in the process to design the Ceded Re treaty program for AXA XL in collaboration with One Ceded Re team at AXA working with the Business, Risk Management and Finance to optimally meet the Division’s business needs and risk limits
• Support the decision‑making process on reinsurance structure
• Participate in the Business Unit’s Reinsurance Committees to share the options for the renewed reinsurance structure
• Capture their feedback and refine the final reinsurance structure proposition
• Prepare the final reinsurance structure proposition to the AXA XL Reinsurance Committee for validation
• Help define & recommend to Global CUOs options for the RI budget allocation
• Remain current on coverage and legal trends to ensure contracts protect the company from adverse or unexpected loss
• Work with AXA XL Risk Management to design ad‑hoc reinsurance structures (e.g., ADC, LPT, etc.) to manage the overall risk profile of AXA XL
• Support Treasury to design intra‑group reinsurance structures to manage the risk profile and capital requirements of individual Division legal entities
• Contribute to scenario modelling and actuarial studies on the existing AXA XL reinsurance structure to assess their relevance with the new reinsurance strategy
• Conduct on‑going performance analysis of the current reinsurance structure and reporting outcomes
• Contribute to the elaboration of the “presentation packs” shared with the brokers & reinsurers with AXA XL & AGRe Placement officers
• Develop and enhance processes and metrics to support the analysis of ceded reinsurance transactions
• Contribute to internal thought leadership relating to evolving approaches towards capital allocation and optimization from perspective of cedant (AXA Group, AXA XL)
• Engage in ongoing research and analysis to derive proprietary insights and conclusions relating to peer group performance and identification of relative value opportunities in the market
• Help guarantee adequate collaboration with AXA XL underwriters, actuaries, operations, claims and finance team members for data gathering, processing, pricing and risk analysis
• Liaise & collaborate on an ongoing basis with other Ceded Re teams (placement, operations) and AXA XL/AXA Group stakeholders
• Ensure an adequate understanding of the Ceded program by key stakeholders, notably: AXA Group, AXA XL Board, Regulators, AXA XL management, underwriting community
• At the request of the Ceded Re placement officers, interact with reinsurers & brokers to address any specific request
• Provide opinions on the reinsurance contract’s terms and conditions

You will be reporting to the Head of Structuring and Analytics and Senior People Lead.

• Advanced university degree in Insurance, Actuarial, Finance, Legal, Mathematics, Economics, Sciences or Engineering preferred
• Proven Reinsurance knowledge and experience: some experience in underwriting insurance or reinsurance
• Proven experience in evaluating, structuring, pricing portfolio finance / stop loss facilities
• Very good understanding of insurance and reinsurance techniques, products and markets, Actuarial/Risk Assessment/Financial Techniques (to be adapted depending on the officer)
• Robust knowledge / expertise in a subject risk (CAT, Property, Specialty, etc.)
• Able to demonstrate data and analytical skills and the ability to manage large submission data sets, an above‑average level of quantitative skills using complex data and information
• Experience with one or more relevant data analysis tools, e.g. SQL Server, Matlab, R, etc.
• Expertis…