Underwriting Product Engineer

About The Role

This role sits at the heart of Swiss Re’s Underwriting Analytics transformation. As a Product Engineer, you will contribute to the development, deployment, and maintenance of analytical applications that empower underwriters, actuaries, and business leaders to make fast, confident, and insight-driven decisions.

Reporting into the Head of Underwriting Analytics, you will partner closely with visualization leads, data architects, AI engineers, and product managers to build performant, scalable tooling that transforms raw data into actionable business value. Your work will span dashboards, self-service apps, and integrated ML tools—powered by the Stargate analytical data platform.

This is a hands-on role where engineering meets business impact. Youll be expected to build with precision, collaborate openly, and ensure that every line of code serves a measurable underwriting outcome.

Strategic Mandate Alignment

Your work supports the mandate to empower the Underwriting product areas and Market Units for the future of the insurance market by delivering industry-leading capabilities.

Key outcomes include

• Visualization: Help design and maintain reporting tools that simplify access to portfolio insights and empower better decision-making.
• Advancing Analytics: Engineer and evolve plug-and-play components that scale with the growing breadth of analytical products.
• Underwriting Initiatives: Contribute to tooling used across major initiatives.
  
  

You will also support the broader transformation agenda

• Enable GenAI-powered assistants and LLM applications by ensuring analytical infrastructure is reliable, performant, and extensible.
• Embed engineering excellence that supports insight delivery at the point of quote and directly within Underwriting Workbench interfaces.
  
  

Primary Responsibilities

• Engineering Delivery
• Build and maintain analytical applications, dashboards, and supporting components that serve underwriters and steering teams.
• Write performant, reusable code that supports real-time, high-trust insight delivery.
• Implement version control, testing, and documentation standards for all work products.
• Integrate user feedback into the design and continuous improvement of analytical tools.
• Collaboration & Product Execution
• Under the direction Head of Underwriting Analytics, collaborate with product managers to scope requirements and translate them into working features.
• Work closely with AI/ML engineers and data architects to ensure infrastructure compatibility and downstream usability.
• Ensure tight alignment with the Stargate data platform and adhere to shared development patterns.
• Support the regression testing, production hardening, and monitoring of deployed tools.
• Process & Controls
• Ensure consistency in KPIs, metrics, and visualizations by aligning with centralized reporting logic.
• Document code, logic, and assumptions clearly to ensure auditability and team-wide understanding.
• Participate in code reviews, design discussions, and architectural evolution of the analytics stack.
  
  

About The Team

You will join the Global Underwriting Data & Analytics team – a talented, curious and collegial cohort committed to solving the biggest challenges facing the industry today. The team brings a deep understanding of the Underwriting problem statement and the technical purview necessary to solve it.

About You

You are a curious, detail-oriented engineer who’s excited about solving real business problems through data and software. You enjoy owning features end-to-end, thrive in collaborative environments, and seek to make measurable impact through code.

Qualifications And Experience Required

• Master’s degree in Computer Science, Data Science, or other rigorous technical discipline.
• 5+ years of experience building data-driven applications, dashboards, or analytical tooling.
• Proficiency in programming (e.g., Python, SQL, JavaScript, TypeScript, R) and frontend frameworks (e.g., React, Plotly, Dash).
• Familiarity with cloud platforms (e.g., Azure, GCP, Snowflake, or Palantir).
• Strong understanding of software engineering principles including version control (Git), modularity, and testing.
• Comfortable working with large datasets and integrating with data pipelines.
• Strong communication skills and ability to work effectively across technical and business stakeholders.
• A proactive mindset, team-first attitude, and a passion for solving problems that matter.
  
  

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 14,000 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.

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.

Keywords

Reference Code: 134423

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