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Swiss Re’s Life & Health Reinsurance Engineering team is seeking a Technical Business Analyst to bridge business stakeholders, AI/data teams, and delivery. You will shape requirements, validate outcomes, and support AI-enabled analytics and decision-support products.
You will partner with underwriting, operations, and actuarial teams, ensure MVP scopes align with product vision, and lead functional testing to ensure robust deployments in a regulated environment.
Are you passionate about shaping the future of AI-driven reinsurance solutions? Do you thrive at the intersection of business strategy, data, and technology? If you're a detail-oriented problem-solver who loves translating complex challenges into clear, actionable outcomes - this role was made for you.
At Swiss Re, we're on an exciting journey to embed AI-driven capabilities across Life & Health (L&H) Reinsurance operations - and we need a sharp, curious, and collaborative Technical Business Analyst to help us get there. You'll sit at the heart of our AI transformation, acting as the critical bridge between L&H business stakeholders, AI/data teams, and technology delivery. From shaping requirements and defining MVPs to ensuring quality and validating outcomes, your work will directly influence how AI-enabled analytics and decision-support products come to life - and how much our business trusts and adopts them.
Business Analysis & Product Shaping
Data & AI Enablement
Quality Assurance & Testing
Delivery & Production Support
The L&H Re team is Swiss Re's global Life & Health Reinsurance Engineering team, responsible for the technical architecture and engineering of IT solutions for our Reinsurance business unit. We are a team of passionate technologists and domain experts who build enterprise-grade products with a deep understanding of the reinsurance business. Collaboration is at our core - we work closely with colleagues and teams around the globe to share knowledge, co-create solutions, and drive meaningful outcomes.
Joining our team means more than just delivering great technology. Over time, you'll gain a broad view of the architecture and engineering of a global reinsurer, develop a comprehensive understanding of the people, systems, and processes that shape business outcomes, and build an excellent foundation for your next career step - whether that's closer to operational business activities or deeper into technical leadership.
Right now, we're embarking on a strategic initiative to build and deliver AI-driven capabilities across end-to-end L&H operations and in-force management. Leveraging Swiss Re's rich global data foundation and enterprise business applications, this initiative aims to:
You are a curious, structured, and quality-obsessed professional who loves making sense of complexity. You bring a strong analytical mindset, a passion for getting things right, and the communication skills to bring both technical and business audiences along on the journey. You're comfortable working in fast-paced, cross-functional agile teams and you take pride in delivering solutions that are not just functional - but trusted.
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.
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. We cover both Property & Casualty and Life & Health. 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 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.
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Reference Code:139787
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