The job is focused on the risk assessment of global parametric weather, natural catastrophe, and agricultural transactions. We are recruiting an intern to develop a Streamlit platform to manage a temperature derivatives portfolio and work closely with various teams within the Insurance Ecosystem (DataScience, Pricing, and Energy).

Key Responsibilities:

• Master Temperature Derivatives Products: Understand and price temperature deals, manage derivatives portfolios, and propose relevant decision-support metrics.

• Develop a New Platform: Evaluate diversification, monitor portfolios with automatic updates, and create a user-friendly interface on Streamlit.

• Technical Skills: Strong analysis, modeling, and Python coding skills, with an interest in finance and climate topics.

• Behavioral Skills: Solution-oriented, able to work independently or in groups, and strong communication skills.

• Experience: Python experience (Streamlit library is a plus).

• Education: From top engineering schools (e.g. X, CentraleSupélec,ENSAE, École des Ponts, Mines, ENSTA…) or universities (Paris VI, Paris-Saclay, Imperial College, ETH Zurich, EPF Lausanne…).

• Languages : Fluent in French is required