Quantitative Finance & Data Analyst Intern

Through financial modelling, forecasting and performance analysis, you will turn data and business assumptions into strategic insights, contribute to IFRS 17 and Solvency II projections, and support the management of SCOR's Property & Casualty (P&C) reinsurance activities. This role offers a unique opportunity to combine analytical rigour with business understanding in a highly international and intellectually stimulating environment.

Required experience & competencies

• Strong analytical and quantitative skills, with a problem-solving mindset.
• Ability to analyze and structure complex datasets with strong attention to detail.
• Advanced Excel skills; knowledge of Python, SQL or Foundry is a plus.
• Strong interest in financial planning, insurance, reinsurance or data-driven decision-making.
• Fluent in French and proficient in English, with the ability to thrive in an international environment.

Required Education 

You are currently pursuing a Master's degree from a top-tier engineering school, actuarial program or university with a strong quantitative focus (Finance, Mathematics, Statistics, Data Science, Engineering).

·  You will transform underwriting plans into financial projections, working on profitability assessments, expense allocations, discount rate calculations and Contractual Service Margin (CSM) modelling.

·  You will contribute to the Group's key planning exercises (Operating Plan, Strategic Plan and quarterly reforecasts) across SCOR's worldwide Property & Casualty (P&C) reinsurance business, with a strong focus on IFRS 17 and Solvency II.

·  You will analyze performance and profitability drivers, providing insights to support management decision-making.

·  You will help shape new tools and processes to build a more automated, precise and robust planning framework.

·  You will collaborate on cross-functional projects related to performance measurement and planning methodologies.