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
1. Analyze scenarios to determine impact on risk measures and balance sheet metrics
2. Support management reporting through execution and enhancement of risk reports
3. Evaluate financial market risks embedded within reinsurance transactions using in-house models
4. Integrate data across various internal and external sources to create unified insights
5. 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 (. 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:
6. Master's degree in a quantitative subject (Mathematics, Computer Science, Engineering, Economics, Finance) with up to 3 years of professional experience
7. Solid coding skills in at least one major computer language (R and/or Python)
8. Intellectual curiosity, drive and interest in financial and quantitative topics
9. Full proficiency in English
Desirable but not required:
10. Prior professional experience with financial risk management (quantitative / market / credit, Treasury or within Asset Management in the banking or (re)insurance sector
Opportunities for further learning and growth:
11. Gain insights on how Assets, Liabilities and Capital are managed in a large Reinsurance setup
12. Understand the modeling and valuation of a wide variety of financial securities and insurance products
13. MS SQL Server databases and Analysis Services and/or with the DAX query language
14. Deep R proficiency incl package development, environment management, code optimization, RShiny dashboards etc
15. 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.
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. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
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Reference Code: 135186