Bangalore, KA, IN
Analytics Engineer
Be at the forefront of insurance innovation! Join Swiss Re's Underwriting Analytics transformation journey where your engineering expertise will directly shape how underwriters make decisions in one of the world's leading reinsurance companies.
About the Role
As an Underwriting Product Engineer, you'll architect the future of data-driven decision making in the insurance industry. You'll build powerful analytical applications that transform complex data into actionable insights, empowering underwriters, actuaries, and business leaders across our global organization.
Key Responsibilities
- Engineer and develop high-performance analytical applications, dashboards, and components that serve underwriters and steering teams
- Write clean, efficient code that supports real-time, high-trust insight delivery across our organization
- Implement robust standards for version control, testing, and documentation for all work products
- Collaborate closely with product managers to translate business requirements into working features
- Partner with AI/ML engineers and data architects to ensure infrastructure compatibility and downstream usability
- Align with the Stargate data platform and adhere to shared development patterns
- Support testing and monitoring of deployed tools to ensure reliability and performance
- Document code and logic clearly to ensure auditability and team-wide understanding
- Participate actively 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 insurance industry today. The team brings a deep understanding of the Underwriting problem statement and the technical expertise necessary to solve it. You'll be part of a collaborative environment where innovation thrives and your contributions directly impact business outcomes.
About You
You're a curious, detail-oriented engineer who's passionate 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 your code. You're equally comfortable discussing technical solutions and explaining complex concepts to business stakeholders.
- We are looking for candidates who meet these requirements:
- 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 languages such as Python, SQL, JavaScript, TypeScript, or R
- Experience with frontend frameworks (e.g., React, Plotly, Dash)
- Strong understanding of software engineering principles including version control (Git), modularity, and testing
- These are additional nice to haves:
- Familiarity with cloud platforms (e.g., Azure, GCP, Snowflake, or Palantir)
- Experience working with large datasets and integrating with data pipelines
- Knowledge of insurance or financial services industry
- Experience in agile development environments
- Background in data visualization best practices
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.
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week
Reference Code: 136332
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Analytics, Underwriter, Data Analyst, Insurance, Management, Data