Zurich, Zurich, CH
Junior Financial Data Analyst - Graduate (Hybrid, m/f/x/d)
We are looking for graduates with strong interpersonal skills, who are eager to learn, broaden their knowledge and expertise and want to make a difference. You have a Bachelor, Master, or PhD degree with less than 3 years of professional experience – we invite you to apply to our Graduate Programme which officially starts on 1 September 2025.
The programme offers you the chance to join the dynamic, fast-moving world of a leading risk knowledge organisation. Over an 18-month period, you will receive on- and off-the-job training, including a job rotation that gives you the opportunity to work across different lines of business and departments.
About the Team
The Market Risk Management (MRM) team within the Solvency & Financial Risk Management department will be your homebase during the programme and you will also have the opportunity to complete one or two rotations of 16-20 weeks total (possible destinations could, e.g., be Treasury / AM / other areas of the Solvency & Financial Risk Management department such as credit risk management, risk modelling, financial model validation). The market risk management team has presence in Zurich, London, New York City / Armonk, and Bangalore. The role will work across all three product areas within MRM, i.e., Credit & Equities; Treasury & Rates; and (Re)Insurance Transactions.
About the Role
The cross-functional role will involve deriving risk analytics and developing/maintaining various applications (dashboards, own R packages, APIs) for financial risk managers. The position holder will support the product areas in their regular responsibilities and deliverables and engage in a significant amount of project-based work.
Here are some areas you might focus on:
- Scenario impact on risk measures and balance sheet metrics using open-source or commercial frameworks
- Supporting the management reporting process through execution and enhancement of current reports
- Data integration across various of the Group's internal and external data sources
- Design and development of RShiny server dashboards
- Analysis of embedded financial market risks within reinsurance transactions using the in-house libraries
About You
Essentials:
- Master's degree in quantitative subject (e.g., Mathematics, Computer Science, Engineering, Economics, Finance)
- Solid coding skills in at least one major data language (R and/or Python)
- (A lot of) intellectual curiosity, drive and interest in financial and quantitative topics
- Fully proficient in English
Nice to Have:
- Prior professional experience with financial risk management (quantitative / market / credit etc), treasury or within asset management within the banking or (re)insurance sector
Opportunities for Further Learning and Growth:
- MS SQL Server databases and Analysis Services and/or with the DAX query language
- REST APIs and querying them in R / Python
- Version control / Git
- Deep R proficiency incl package development, environment management, code optimization, object-oriented programming (R6 classes), RShiny dashboards, Quarto, code parallelization etc
- Apache Spark / PySpark
Please note that the application process will be open until beginning of November. The active selection and interview process will start afterwards, and you may not hear from us in the meantime. This does not mean you application is ignored. Please keep this in mind in case you do not hear from us within upcoming weeks. We will keep you informed of any updates or changes to the schedule. Thank you for your understanding. #LI-Hybrid
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.
Reference Code: 131093
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