SCOR

This actuarial internship focuses on preparing and updating inputs for stochastic capital simulation models, collaborating with pricing teams to validate data, and streamlining model output reporting for Lloyd's compliance.Job DescriptionCapital modelling involves quantifying the risks faced by SCOR. The process of understanding and quantifying these risks allows exposure to various teams and lines of business. The successful candidate thrives in a collaborative environment and is eager to develop their actuarial expertise within a specialist team. The work will be hands on and highly technical, working with stochastic simulation models. It will include both business-as-usual tasks as well as project work.  It is expected that the intern will focus on preparing and updating the inputs to the capital model, followed by analysis of the results. The intern will be supported to take ownership of tasks under the guidance of other actuaries. The intern will benefit from access to specialist actuarial modelling tools and technologies. This will allow the intern to build practical experience with tools that are commonly used in the Lloyd’s market, alongside industry knowledge. ResponsibilitiesSupport the development and testing of the SCOR Syndicate capital model, to ensure that appropriate capital figures are presented to Lloyd’s.Collaborate with other teams (e.g. pricing actuaries) to source inputs to the capital model, while building an understanding of why the numbers have changed and whether the change is reasonable. Support and drive efficiency within the model input data and model output data manipulation processes to help streamline the workflow of the team.Assist in producing reports and presentations for internal stakeholders and regulators.QualificationsRequired:Attention to detail: Have a process-oriented mindset, be thorough in checking their own work, and have a keen eye for spotting mistakes.Problem-solving: Keep an open mind and be curious about why things are done in this way. Identify potential improvements in existing processes. Communication: Excellent interpersonal verbal and written skills that enable them to communicate effectively with colleagues.Organised: Able to organise and manage their workload, prioritising different tasks when needed. Driven: A self-motivator who is keen to learn. Desirable:Microsoft Office (Excel and PowerPoint).SQL, Python, R or other programming language skills is an advantage. Required EducationStrong educational track record, particularly relating to mathematical proficiency.

Posted 28 days ago

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.ResponsibilitiesSupport 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.  DesirableExcel, 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.

Posted 28 days ago