Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Marsh

Marsh is hiring a Full-Stack Engineer to join our Innovation & Applied AI team within the DCX initiative, focused on building a market-leading digital platform. DCX operates like a startup within Marsh: a small, high-calibreteam with the pace and autonomy of a startup, backed by the scale, reach, and data advantage of a global leader. This is an opportunity to drive meaningful transformation across a major enterprise, solving complex problems with high visibility and outsized impact.

Our team is around 20 people, primarily based in London. We are looking for engineers who thrive in fast-moving environments and raise the pace and quality of execution. You will help build what we believe will become one of the largest data platforms in the insurance industry, alongside a sophisticated digital platform supporting renewal strategy, risk insight, and better client outcomes.

This is a hybrid role primarily based in London, aimed at mid-to-senior engineers who canoperateindependently from day one and work closely with product, business, and technical leaders, though exceptional early-career candidates will also be considered. We are looking for a forward-deployed, AI-fluent engineer with strong judgment: someone who can work directly with users, quickly get to the heart of a problem, and turn it into a practical technical solution. You should be excited by the AI frontier, testing new models, tools, and workflowsearlyand applying the ones that create real value.

We will count on you to:

• Own features end-to-end - from data consumption and querying through API logic to client-facing UI, with minimal handoffs and high autonomy.

• Work directly with users and business stakeholders, joining calls, understanding pain points first-hand, shaping solutions collaboratively, and owning delivery through to measurable impact.

• Self-source the data you need by navigating our data platform, writing SQL, understanding upstream structures, and working confidently with Databricks or similarlakehousepatterns.

• Build andoperatescalable, secure pipelines and curated data layers that power analytics, risk insights, and insurance recommendations.

• Implement front-end mathematical computations with precision, including exposure analysis,lossprojections, premium calculations, and price-impact modelling.

• Develop backend services and APIs using TypeScript/Node.js,NestJS, or similar frameworks to support data access, computation, and model inference.

• Build modern React experiences, including components, state management, and >

  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 embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@marsh.com.
  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 “anchor day” per week on which their full team will be together in person.