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Apply as UW Treaty Submission Analyst in Bratislava – drive data ingestion, automation and AI to support Swiss Re’s reinsurance operations.
Join a forward-thinking team, manage large data sets, enhance processes, and contribute to resilient risk solutions at Swiss Re.
Would you like to join a global leader and build your career in a well-known reinsurance company with a strong reputation? 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. Join our Underwriting Treaty Submission Center within the Business Services team based in Bratislava and become an Underwriting Treaty Submission Analyst in a team of dynamic and skilled professionals!
About the Team
We are a newly established team of Submission Analysts within a dynamic and diverse multinational Business Services department. Our mission is to unlock the full potential of client risk information through thorough analysis, consolidation, cleansing, and the seamless integration of data into Swiss Re's systems. By driving advanced analytics and cutting-edge automation initiatives, we’re shaping the future of data-driven decision-making at Swiss Re. Our work directly empowers Market Units and Product Underwriting teams to focus on delivering exceptional value to our clients.
About the Role
You will be responsible for the Data Ingestion of Treaty underwriting data for analytical purposes. In this role, you’ll work with risk information such as client loss data, premiums, and risk profiles to refine market curves, default rates, portfolio loss ratios, and other key parameters essential for costing. A significant part of your role will involve utilizing a variety of tools, including artificial intelligence, to perform semi-automated data input. Beyond this, you will actively work on enhancing these processes, with the goal of increasing automation and improving overall efficiency through tech-based solutions.
Key Responsibilities
- Analyze and consolidate costing data received from clients.
- Prepare and ingest this data into Swiss Re’s core systems.
- Take an active part in improving semi-automated processes, focusing on further automation. You'll also help introduce AI-based solutions by creating prompts and using semi-automated tools to reduce manual work and boost efficiency.
- Collaborate closely with Product Underwriters, Client Underwriters, and Actuaries to ensure accurate data processing and integration.
- Master the end-to-end data ingestion process to promote best practices, while providing thought leadership and fostering innovation in data management for colleagues globally.
About You
You are a responsible, independent, proactive, and dedicated team player. You have a strong sense of ownership, attention to detail, and confidence in handling large data sets. You are tech-savvy, eager to work with AI-driven solutions, and committed to improving processes through automation. Additionally, you prioritize tasks effectively, meet deadlines, and actively seek out ways to enhance both automated and human-driven data submission workflows.
Essentials
- Strong analytical skills.
- Tech-savvy, with the ability to work with AI tools and engineer prompts for automation solutions.
- Experience working with large data sets and complex data processes.
- Advanced or expert-level proficiency in MS Excel.
- Ability to prioritize tasks, meet deadlines, and manage multiple projects efficiently.
- Fluent in English.
Nice-to-have
- A degree in natural sciences or a quantitative field (Economics, Statistics, Engineering, etc.).
- Experience or knowledge in Property & Casualty (Re)insurance.
- Experience with modeling or previous underwriting roles in Property and Casualty.
- An additional European language is an advantage.
Join Swiss Re and you will join a company awarded with the Via Bona Responsible Large Company Award (1st place) and the Healthy Company Award (3rd place) in 2022.
For Slovakia the base salary range for this position is between EUR 1,400 and EUR 2,300 per month (for a fulltime role). The specific salary offered considers: the requirements, scope, complexity and responsibilities of the role, the applicant’s own profile including education/qualifications, expertise, specialization, skills and experience.
In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based bonus.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder. #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 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. 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. 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.
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.