Technical Business Analyst I

Technical Business Analyst I

Technical Business Analyst I – Life & Health Re

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.

About the Role

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.

Key Responsibilities

Business Analysis & Product Shaping

• Build and nurture trusted relationships with internal L&H business partners across underwriting, in-force management, operations, and actuarial functions.

• Collaborate with stakeholders to brainstorm ideas, shape use cases, and define MVP scope aligned with the long-term AI product vision.

• Capture and document complex business requirements, translating them into clear, actionable functional and non-functional specifications.

• Ensure requirements reflect business value, usability, and operational realities at every stage of delivery.

Data & AI Enablement

• Analyze business problems using data-driven approaches, leveraging SQL-based analysis where required.

• Translate business requirements into actionable insights through structured analytical thinking and data analysis.

• Partner closely with AI and data teams to ensure model outputs, recommendations, and reasoning align with business expectations.

• Support validation of AI-enabled insights, dashboards, and workflows from a business and functional perspective.

Quality Assurance & Testing

• Define and execute functional test scenarios for data, analytics, and AI-enabled solutions.

• Lead UAT and functional testing, ensuring solutions meet agreed business requirements before go-live.

• Analyze functional defects, identify root causes, and collaborate with delivery teams to propose effective solutions.

• Drive high-quality releases through structured test planning and rigorous execution.

Delivery & Production Support

• Step up during peak cycles, demonstrating flexibility and dependability to meet critical deadlines.

• Support defect resolution, production incident analysis, and problem management.

• Participate in go-live readiness activities, including validation, sign-offs, and post-go-live support.

• Serve as the business-facing point of contact during early production usage, ensuring adoption, stability, and user confidence.

About the Team

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:

• Enable continuous monitoring of L&H portfolio performance

• Deliver actionable insights and AI-driven recommendations

• Embed reasoning-enabled workflows into business processes

• Ensure solutions are robust, trusted, and fit for a regulated environment

About You

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.

We are looking for candidates who meet these requirements:

• 3–4 years of hands-on experience in business analysis, product analysis, or data analysis, with a strong quality assurance and functional testing background.

• Proven SQL skills for data analysis, validation, and investigation of complex data environments.

• Life & Health insurance or reinsurance domain experience, with the ability to understand and navigate business processes such as underwriting, in-force management, and actuarial workflows.

• Demonstrated experience in functional testing and UAT within complex data, analytics, or technology solutions, including defect analysis and root cause identification.

• Strong stakeholder management and communication skills, with the ability to articulate complex topics clearly to non-technical audiences and translate business needs into precise specifications.

These are additional nice to haves:

• Experience supporting AI-driven decision support or monitoring solutions, including familiarity with AI/GenAI concepts and prompt engineering.

• Exposure to in-force management, portfolio analytics, or underwriting workflows within a reinsurance or insurance context.

• Familiarity with model governance, explainability, or regulatory expectations in a data or AI context.

• Experience working in large, global enterprise environments with cross-functional, distributed teams.

• Background in agile delivery methodologies and experience contributing to agile ceremonies and sprint-based delivery.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

Experience Level

Mid Level