Exposure Management & Accumulations Graduate Trainee Contract

This graduate-level analytics role focuses on supporting exposure management data analytics, monitoring global catastrophe risk accumulations, and preparing risk reporting for Lloyd's and regulatory bodies.

The role offers significant exposure to catastrophe modelling, portfolio analytics, exposure management, and underwriting decision support. Working in a highly collaborative international environment, the successful candidate will interact with experts across Exposure Management, Pricing & Modelling, and Underwriting, while developing a strong understanding of how catastrophe risk is measured, monitored, and managed within a global re/insurance organisation. This reflects SCOR's emphasis on exposure analytics, accumulation monitoring, and cross-functional collaboration across catastrophe and portfolio management activities.

Responsibilities

• Support the preparation, validation, documentation, and ongoing streamlining of exposure management data analytics.

• Contribute to the production of exposure management analytics for both internal reporting and external submissions to Lloyd’s and regulatory bodies.

• Assist with the analysis and reporting of global natural and non-natural catastrophe events.

• Provide support across a wide range of team responsibilities, including monitoring global risk accumulations against limits and capacities, and helping to steer and optimise the portfolio.

• Help develop and enhance (industrialise) processes and tools that underpin these activities.

Qualifications

Required experience & competencies

•  Proficiency with MS Office. 

• Good conceptual and analytical capabilities and the ability to approach tasks consistently, goal-oriented and independently. 

• Excellent communication skills and command in English (fluency in either French or German is a plus).  

• Team player attitude and appetite for continuous learning and achievements in an international context. 

   

Desirable

• Excel, SQL, Tableau, Power BI,  Python or other programming language skills an advantage. 

Required Education 

• Strong educational track record, ideally a numerical or analytical degree or equivalent.