18 hours ago
New York, NY, USAMid Level / Senior
Base Salary
$134k - $268k/yr
Responsibilities
- Own features end-to-end from data consumption and SQL querying through API logic, quantitative computations, and client-facing UI.
- Work directly with users and business stakeholders to identify pain points, shape solutions, and own delivery through measurable impact.
- Navigate the data platform and build scalable, secure pipelines and curated data layers for analytics, risk insights, and insurance recommendations.
- Implement accurate exposure analysis, loss projections, premium calculations, and price-impact modeling in front-end experiences.
- Develop backend services and APIs with TypeScript/Node.js, NestJS, or comparable frameworks.
- Build modern React components, state management, and data-rich interfaces that clearly explain insights and recommendations.
- Use AI tools and workflows, including code generation, automated testing, and AI-assisted development, and evaluate emerging models and tooling for business value.
- Develop insurance, risk, and actuarial domain understanding to make product-informed engineering decisions.
Requirements
- Strong production experience with TypeScript/Node.js and NestJS or comparable backend frameworks.
- Strong React skills, including component architecture, state management, and data-heavy user interfaces.
- Strong SQL and data-querying skills, including the ability to self-serve from Databricks or similar data platforms.
- Solid mathematical and quantitative skills for implementing and validating computations accurately.
- Experience building APIs and services connecting data, computation, and user-facing applications.
- High ownership, sound judgment, and comfort working with ambiguous requirements and minimal oversight.
- Confidence working directly with users and stakeholders to understand problems and shape practical solutions.
- Ability to learn quickly and build expertise in insurance, risk, and actuarial concepts.
- AI-native development experience, including daily use of AI tools and experience shaping AI-augmented engineering practices.
- Preferred experience includes D3, Recharts, or AG Charts; internal tools, automations, or AI-enabled workflows; pricing, underwriting, exposure, claims, or risk analytics; lakehouse or data engineering patterns; testing, observability, and performance practices; startup-style environments; embedded user-facing engineering; and communication with non-technical stakeholders.
- Academic depth in Computer Science or another STEM field is a distinguishing qualification, with additional business exposure a plus.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with opportunities to create solutions and have impact across colleagues, clients, and communities.
- Competitive total rewards package including health and welfare benefits, tuition assistance, 401K savings, retirement programs, and employee assistance programs.
- Hybrid London work arrangement with remote flexibility; colleagues are expected to work in their local office or onsite with clients at least three days per week, with at least one weekly team anchor day for office-based teams.
- Performance-based incentives may be available in addition to base salary.
Tech Stack
Categories
Forward Deployed
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.