Stage en actuariat pour étudiant de Master (f/h/d)

Das Wichtigste

Das bringst du mit

Master’s degree in actuarial science, mathematics, quantitative finance, or equivalent training in progress. Strong interest in life insurance, provident schemes, and quantitative analyses. Good programming skills, ideally in Python or R. Analytical ability, rigour, and a synthetic mind. Curious, collaborative, and proactive personality. Excellent command of French; knowledge of German is an asset.

Deine Aufgaben

Participate in the analysis and development of actuarial models used for life insurance products. Contribute to the actuarial modelling of disability cases pending payment as part of your master’s work. Analyse data, document actuarial processes, and take part in the continuous improvement of the tools and methods used by the team. Depending on your profile, develop solutions in Python or other quantitative analysis tools. Collaborate with actuaries, product specialists, and business teams on concrete projects.

Das wird geboten

Learning-friendly environment with responsibilities adapted to your level of experience. Opportunity to develop skills alongside professionals in the actuarial field. Flexible working model and teleworking possibilities when activity allows. Workplace in Nyon. Applications accepted quickly and simply, even without a cover letter. Direct contact with the team without external human resources providers.

Über die Stelle

Join la Mobilière for a Master’s internship in actuariat. Gain hands-on experience in a collaborative team environment. The internship offers up to 5 months to write your master’s thesis in a company setting within the Risk Management & Reporting team at Provident Fund in Nyon. Work on actuarial model analysis for life insurance products, participate in data analysis and documentation of actuarial processes, and collaborate with actuaries on real projects and solutions. The team consists of actuaries and specialists who work closely together in a professional and open atmosphere with regular exchanges and knowledge sharing.

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