At a Glance
- Tasks: Join our team to build a cutting-edge digital platform in the insurance industry.
- Company: Marsh, a leader in innovation and applied AI.
- Benefits: Professional development, inclusive culture, and diverse career opportunities.
- Other info: Dynamic environment with a focus on collaboration and growth.
- Why this job: Make a real impact with AI technology and data-driven solutions.
- Qualifications: Strong skills in TypeScript, Node.js, React, and SQL required.
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.
We will count on you to:
- 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 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.
Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Marsh in London employer: National African-American Insurance Association (NAAIA)
Contact Detail:
National African-American Insurance Association (NAAIA) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Marsh in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Marsh on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems relevant to full-stack development. We want you to feel confident when tackling those tricky questions!
✨Tip Number 3
Showcase your projects! Whether it’s a GitHub repo or a personal website, make sure to highlight your work that aligns with the role. This is your chance to demonstrate your skills in TypeScript, Node.js, and React!
✨Tip Number 4
Don’t forget to prepare questions for your interviewers. Show your interest in Marsh’s culture and the team dynamics. It’s a two-way street, and we want to see you engaged and curious about your potential new workplace!
We think you need these skills to ace Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Marsh in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that match the job description. We want to see how your background aligns with our needs, so don’t hold back on showcasing your full-stack expertise!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your technical skills, especially in TypeScript, Node.js, and React. We love seeing real-world applications of your work, so feel free to link to your GitHub or portfolio!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at National African-American Insurance Association (NAAIA)
✨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. Highlight your proactive approach to problem-solving and how you’ve turned complex issues into data-driven solutions. This will resonate well with the team’s focus on innovation.
✨Understand the Business Context
Familiarise yourself with the insurance industry and the specific challenges it faces. Being able to connect your technical skills with business acumen will set you apart. Think about how your work can impact risk management and insurance recommendations.
✨Emphasise Collaboration
Since the role involves working closely with a team, be prepared to discuss your experience in collaborative environments. Share instances where you’ve effectively communicated with non-technical stakeholders or worked cross-functionally to achieve project goals.