Apprentice

The interview process at Swiss Re typically involves multiple rounds, including technical and behavioral questions. The company looks for candidates with strong analytical and problem-solving skills, as well as effective communication and collaboration skills. To prepare for the interview, it is recommended to practice coding skills, review data structures and algorithms, and prepare to answer behavioral questions.

Swiss Re is known for its inclusive culture, encouraging fresh perspectives and innovative thinking. The company offers a flexible work environment where everyone can bring their authentic selves to work and their passion for sustainability. Swiss Re also provides opportunities for growth and development, regardless of age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.

Graduate in Engineering / Computer Science / Data Analytics. Basic understanding of Excel (data handling, formulas), SQL or Python (preferred), familiarity with Data structures and data handling concepts, logical problem-solving and structured thinking.

Round 1: ... → Round 2: ... → Round 3: HR (based on company knowledge)

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 15,000 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. We are looking for high-potential graduates with a strong analytical and technical mindset to support data and system-driven transformation within Technical Accounting. This role focuses on enabling business processes through an internal platform used for data processing, validation, and reporting. The individual will work at the intersection of data, systems, and business logic, helping translate requirements into structured, scalable solutions. This is not a transaction processing role — it is focused on data, systems, and implementation enablement. The individual will support onboarding and preparation of datasets into internal systems, work with large datasets to analyze, clean, and validate data quality, assist in developing data transformation logic and basic automation solutions, perform data quality checks and identify inconsistencies or gaps, support system testing and output validation for business scenarios, and collaborate with Technical Accounting teams, Data / analytics teams, and IT / system implementation teams. The individual will contribute to improving data accuracy, process efficiency, and system usability. To be successful in this role, the individual should have a strong analytical and problem-solving skills, interest in working with data, systems, or coding, high attention to detail, ability to learn quickly and adapt in a dynamic environment, and effective communication and collaboration skills. The role offers an opportunity to work on data and system transformation initiatives within a global organization, gain exposure to internal platforms supporting large-scale business processes, build skills in data, analytics, and process automation, and grow into roles across data, systems, and transformation functions. 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. We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.