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

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

Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build a cutting-edge digital platform and enhance productivity with innovative tech solutions.
  • Company: Join Marsh, a global leader in risk management and insurance.
  • Benefits: Enjoy professional development, flexible work options, and a vibrant, inclusive culture.
  • Why this job: Make a real impact in the insurance industry using AI and data-driven solutions.
  • Qualifications: Strong skills in TypeScript, Node.js, React, and SQL; AI experience is a plus.
  • Other info: Collaborate with talented colleagues and grow your career in a dynamic environment.

The predicted salary is between 60000 - 80000 ÂŁ per year.

Marsh is hiring a full-stack engineer to join our Innovation & Applied AI team within the DCX initiative, focused on building a competitive digital platform. The team is 20 people, primarily based in London, and we’re looking for someone who can significantly increase productivity while adapting to new ways of working. You’ll have the opportunity to help build what we believe will become the largest data platform in the insurance industry and a sophisticated digital platform supporting renewal strategy. We’re seeking strong AI technology skills and architectural understanding.

For recent graduates, we’re looking for a business bachelor’s degree with a master’s in statistics, computer science, physics, or a related STEM field. For more experienced candidates, we’re looking for strong data foundations and a proven ability to apply AI at scale in real-world, production environments. The ideal candidate is a versatile full-stack data professional who thrives in complex, fast-paced environments, combining deep technical expertise with strong business acumen in retail operations and insurance risk. You’ll be a proactive problem solver and collaborative communicator who can turn ambiguous business challenges into robust, data-driven solutions - using data to drive strategic risk management and insurance recommendations.

What you will be responsible for:

  • Own features end-to-end - from data consumption and querying through API logic to client-facing UI (minimal handoffs, high autonomy).
  • Self-source the data you need by navigating our data platform (e.g., Databricks/lakehouse patterns), writing SQL, and understanding upstream structures and quality.
  • Build and operate scalable, secure pipelines and curated data layers that power risk analytics and insurance recommendations.
  • Implement front-end mathematical/actuarial computation with precision (e.g., exposure analysis, loss projections, premium/price-impact calculations) and validate results.
  • Develop backend services and APIs (TypeScript/Node; NestJS or similar) to support data access, computation, and model inference.
  • Build modern React experiences (components, state, data visualisation) that explain insights and recommendations clearly to end users.
  • Integrate AI into your delivery workflow (e.g., Copilot, code generation, automated testing) to increase quality and throughput.
  • Build strong insurance/actuarial domain understanding to make product-informed engineering decisions and translate ambiguous needs into working software.

What you need to have:

  • Strong TypeScript/Node.js experience, including NestJS (or comparable frameworks) in production.
  • Strong React skills (component architecture, state management) and experience delivering data-heavy UIs.
  • Strong SQL/data querying skills and the ability to self-serve from Databricks or similar data platforms.
  • Solid math/quantitative skills, comfortable implementing and validating actuarial/financial computations on the client side.
  • Experience building APIs/services that connect data, computation, and user-facing applications.
  • High ownership and comfort working from ambiguous requirements, making sound decisions independently.
  • Ability to learn quickly and build domain expertise in insurance/actuarial concepts.
  • AI-enabled development experience - using AI tools daily and shaping AI-augmented engineering practices.

What makes you stand out:

  • Experience with data visualisation libraries (D3, Recharts, AG Grid, etc.).
  • Prior work on pricing, underwriting, exposure, claims, or risk analytics products.
  • Familiarity with modern lakehouse/data engineering patterns and production reliability practices (testing, observability, performance).

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

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.

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@mmc.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.

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

Marsh is an exceptional employer that prioritises professional development and fosters a vibrant, inclusive culture where talented individuals collaborate to create impactful solutions. With a strong commitment to employee well-being, Marsh offers a range of benefits and career opportunities, all while being part of a global leader in risk management and consulting based in London. Join us to thrive in a dynamic environment that embraces innovation and diversity.
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Contact Detail:

Marsh Risk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Marsh

✨Tip Number 1

Network like a pro! Reach out to current employees at Marsh on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss TypeScript, Node.js, and React. Practice coding challenges to show off your problem-solving skills!

✨Tip Number 3

Show your passion for AI and data! Be ready to share examples of how you've used AI tools in your projects. This will demonstrate your fit for the Innovation & Applied AI team.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Marsh team!

We think you need these skills to ace Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Marsh

TypeScript
Node.js
NestJS
React
SQL
Databricks
Data Visualisation
Mathematical Skills
Actuarial Computation
API Development
AI Integration
Problem-Solving
Collaboration
Adaptability
Domain Expertise in Insurance

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your skills that match the job description. We want to see how your experience aligns with what we're looking for, so don’t hold back on showcasing your full-stack expertise!

Show Off Your Projects: If you've worked on any relevant projects, whether in school or at a previous job, make sure to mention them! We love seeing practical examples of your work, especially if they involve AI, data platforms, or anything related to insurance.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and why you’d be a great fit for our team.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Marsh Risk

✨Know Your Tech Stack

Make sure you’re well-versed in TypeScript, Node.js, and React. Brush up on your SQL skills too, as you'll need to demonstrate your ability to self-source data from platforms like Databricks. Be ready to discuss how you've used these technologies in past projects.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled ambiguous challenges in previous roles. Think about specific instances where you turned complex problems into data-driven solutions, especially in the context of risk management or insurance.

✨Understand the Business Context

Familiarise yourself with the insurance industry and the role of data in it. Be prepared to discuss how your technical skills can directly impact business outcomes, particularly in areas like pricing, underwriting, and risk analytics.

✨Demonstrate AI Integration Experience

Since the role involves integrating AI into workflows, be ready to talk about your experience with AI tools. Share how you've used AI to enhance your development processes, whether through code generation or automated testing.

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

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