About this role
With guidance from the team’s actuaries, you will take part in the various stages of the work: understanding insurance benefits and reinsurance mechanisms, preparing data, selecting and analysing assumptions, modelling, checking results and presenting conclusions. Studies may focus on mortality, disability or long-term care, supporting both pricing needs and the development of reserving assumptions.
The internship is not limited to a single assignment: topics will be defined according to ongoing cases, your progress and your interests. You will therefore have the opportunity to explore several products and methods, working with underwriting and reserving teams and, depending on the projects, medical or legal specialists. Your work will be supervised and reviewed by the team’s actuaries.
• A solid grounding in probability, statistics and data analysis; an interest in biometric risks and their applications to life and health insurance.
• Practical proficiency in R or Python and confidence using Excel; knowledge of VBA. You will receive support in learning to use internal pricing and experience analysis tools.
• Knowledge of life and health insurance, actuarial mathematics, generalised linear models or survival models would be an advantage and can be developed further during the internship.
• A rigorous approach to data preparation and checks, critical thinking when assessing assumptions, and the ability to identify the limitations of an analysis.
• Curiosity about a variety of topics and a willingness to understand the technical and commercial aspects of cases.
• A strong team spirit and the ability to explain an approach and communicate results clearly, both in writing and orally.
• Organisational skills, increasing autonomy and respect for the confidentiality of data and methods.
Previous experience in actuarial work or data analysis would be an advantage but is not essential.