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Forward Deployed Application Engineer Intern (m/w/d)

Marsh McLennan
5 days ago
Full-time
On-site
ZΓΌrich, Switzerland

Company:

Description:

Forward Deployed Application Engineer Intern supports the development of client-facing product features across the data, API, and UI stack. Working closely with senior engineers, the role helps build and improve features, contribute to front-end and back-end implementation, and learns how data flows through the platform to the end-user experience. The role is designed for strong junior talent with solid technical foundations, curiosity, and a willingness to learn both the engineering stack and the insurance domain.

Key Responsibilities

  • Support feature delivery end-to-end:Contribute to feature development across API endpoints, server-side logic, and UI components under guidance from senior engineers.

  • Assist with client-side computation logic:Implement and test mathematical or actuarial calculations on the front-end with support and review from more experienced team members.

  • Work with required data sources:Learn how to navigate data ontologies and data architecture to locate and use relevant data for product features.

  • Build domain understanding:Develop familiarity with insurance and actuarial concepts to better understand the product and contribute effectively.

  • Use AI-assisted workflows:Apply AI tools such as Copilot, code generation, and testing support to improve productivity, learning, and code quality.

Required Skills & Experience

  • Foundation in TypeScript / Node.js, with academic, internship, or project experience using backend frameworks such as NestJS, Express, or similar.

  • Foundation in React, including component-based development and basic state management.

  • Good quantitative aptitude and comfort working with structured logic, calculations, and data-driven problems.

  • Strong willingness to learn and take feedback in a fast-paced product and engineering environment.

  • Interest in developing knowledge of insurance, actuarial concepts, and business logic over time.

  • Comfortable using AI tools to support coding, debugging, testing, and learning.

  • Familiarity with SQLor data querying through coursework, internships, or personal projects.

  • Exposure to data visualization libraries (such as D3, Recharts, or AG Grid) is a plus.

Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one β€œanchor day” per week on which their full team will be together in person.