Are you energised by the intersection of data, AI, and real-world business impact? If you are a sharp analytical thinker with a passion for quality and a curiosity for what AI can do next — this role was built for you.
This is a pivotal role at the heart of Swiss Re's Life & Health Reinsurance transformation. As a Technical Business / Product Analyst, you will sit at the crossroads of business strategy, data intelligence, and AI-enabled delivery — helping shape the future of how L&H; Re operates. You will work with brilliant minds across actuarial, underwriting, operations, and technology to bring AI-driven products from concept to production, ensuring every solution is business-aligned, rigorously tested, and genuinely trusted by the people who use it.
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 translate complex business requirements into clear, actionable functional and non-functional specifications
Ensure requirements reflect real business value, usability, and operational realities — not just technical feasibility
Data & AI Enablement

Analyse business problems using data-driven approaches, including hands-on SQL-based analysis and structured analytical thinking
Partner closely with AI and data teams to ensure model outputs, recommendations, and reasoning workflows align with business expectations
Support validation of AI-enabled insights, dashboards, and decision-support workflows from a business and functional perspective
Leverage exposure to AI/GenAI concepts , including prompt engineering,



to bridge the gap between business intent and technical execution
Quality Assurance & Testing

Define and execute functional test scenarios for data, analytics, and AI-enabled solutions with rigour and precision
Lead UAT and functional testing cycles, ensuring solutions meet agreed business requirements before go-live
Champion high-quality releases through structured test planning, execution, and sign-off processes
Step up during peak cycles , bringing flexibility and dependability when critical deadlines demand it
Support defect resolution , production incident analysis, and problem management with a calm, solutions-oriented approach
Act as a trusted business-facing contact during early production usage, driving adoption and ensuring solution stability
Life & Health Data & Analytics Engineering is a strategic technology partner for Swiss Re's Life & Health Reinsurance division — and we are just getting started. Sitting at the forefront of transforming the data landscape, the team builds innovative analytical products and capabilities that enable better, faster, data-driven decisions across the entire business value chain. As part of the broader Advance with AI initiative,



the team is actively building and delivering 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 to enable continuous portfolio monitoring, actionable insights, and reasoning-enabled workflows in a regulated environment. You are equally comfortable diving into a dataset and presenting findings to a senior business stakeholder. You take quality seriously — not as a checkbox, but as a mindset. You are adaptable, collaborative, and motivated by the idea of making AI work in the real world, responsibly and effectively.
5–7 years of hands-on business analysis and data analysis experience , with a strong functional testing and quality assurance background within complex data or technology environments

- Hands-on SQL experience for data analysis, validation, and investigation of data-driven solutions
- Life & Health insurance or reinsurance domain knowledge , with the ability to understand and articulate complex business processes and translate them into transparent technical requirements

Experience supporting AI-driven decision support or monitoring solutions , ideally within a regulated industry
Exposure to in-force management, portfolio analytics, or underwriting workflows within a Life & Health context
Familiarity with AI/GenAI concepts , including prompt engineering, model governance, or explainability frameworks
Experience navigating large, global enterprise environments with cross-functional, agile delivery teams
Knowledge of regulatory expectations around data, model risk, or analytics in financial services
Strong stakeholder management and communication skills , with the ability to engage confidently across technical and non-technical audiences
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

📌 Technical Business Analyst - SQL, Agile - Hybrid (Hyderabad)
🏢 Swiss Re
📍 Hyderabad