Overview
Join to apply for the Junior Financial Data Analyst Graduate role at Swiss Re. This 18-month Graduate Programme starts 1 September 2026. You’ll gain hands-on experience in the fast-paced world of reinsurance, rotate into different teams, and receive tailored training to build your expertise.
We’re looking for curious, motivated graduates with strong people skills who want to grow, learn, and make a difference. If you hold a Bachelor’s, Master’s, or PhD and have up to three years of professional experience, apply to the programme.
Responsibilities
* Analyze scenarios to determine impact on risk measures and balance sheet metrics
* Support management reporting through execution and enhancement of risk reports
* Evaluate financial market risks embedded within reinsurance transactions using in-house models
* Integrate data across various internal and external sources to create unified insights
* Develop risk models and tools to enhance analytical capabilities across the organization
About The Team
Risk Monitoring & Analytics (RMA) within the Solvency & Financial Risk Management (SFRM) department will be your homebase during the programme. You may complete one or two rotations of 16-20 weeks in total (possible destinations include Treasury, Asset Management or other areas of the SFRM department such as credit risk management, risk modelling, or financial model validation). SFRM has presence in Zurich, London, New York City / Armonk, and Bangalore. RMA is mandated to report risks and analytics to internal and external stakeholders (e.g. regulators).
About You
We’re looking for a curious, detail-oriented individual with strong analytical skills and a passion for financial data. The ideal candidate combines technical expertise with excellent communication abilities and thrives in a collaborative environment where continuous learning is encouraged.
Requirements
* Master's degree in a quantitative subject (Mathematics, Computer Science, Engineering, Economics, Finance) with up to 3 years of professional experience
* Solid coding skills in at least one major language (R and/or Python)
* Intellectual curiosity, drive and interest in financial and quantitative topics
* Full proficiency in English
Desirable But Not Required
* Prior professional experience with financial risk management (quantitative / market / credit, etc.), Treasury or Asset Management in banking or (re)insurance
Opportunities For Further Learning And Growth
* Gain insights on how Assets, Liabilities and Capital are managed in a large reinsurance setup
* Understand modeling and valuation of a wide variety of financial securities and insurance products
* MS SQL Server databases and Analysis Services and/or DAX
* Deep R proficiency including package development, environment management, code optimization, RShiny dashboards
* Explore opportunities on a variety of Gen AI use cases
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. This is possible thanks to the collaboration of more than 14,000 employees across the world. We strive to build an inclusive culture where everyone has equal opportunities to thrive and develop professionally.
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