Junior Financial Data Analyst Graduate

Launch your career with impact!

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 our 18-month Graduate Programme starting 1 September 2026.

You’ll gain hands-on experience in the fast-paced world of reinsurance, rotate into a different team, and receive tailored training to build your expertise. This is your chance to shape your future – and help protect societies from the world’s most complex risks.

About the Role

As a Junior Financial Data Analyst, you'll work at the intersection of risk analytics and capability development, creating powerful insights that drive decision-making. This cross-functional position offers the opportunity to support multiple product areas while engaging in meaningful project work that makes a real difference.

Key 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 will have the opportunity to complete one or two rotations of 16-20 weeks in total (possible destinations could be Treasury, Asset Management or other areas of the Solvency & Financial Risk Management department such as credit risk management, risk modelling, 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.

We are looking for candidates who meet these 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 computer 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 within Asset Management in the banking or (re)insurance sector

Opportunities for further learning and growth:

• Gain insights on how Assets, Liabilities and Capital are managed in a large Reinsurance setup
• Understand the modeling and valuation of a wide variety of financial securities and insurance products
• MS SQL Server databases and Analysis Services and/or with the DAX query language
• Deep R proficiency incl package development, environment management, code optimization, RShiny dashboards etc
• Explore opportunities on a variety of Gen AI use cases

The base salary range for this position will be shared with you during the interview process.

The application process is open for at least 4 weeks and if you do not hear from us within this time frame, it does not mean your application is ignored. We will get back to you latest by mid-November.