Senior Quantitative Developer (Insurance Analytics)

Role: Senior Quantitative Developer (Insurance Analytics)
Location: London
Salary: Up to £160,000
Reporting to: Head of Analytical Software Development

Overview

We are partnering with a highly innovative, globally operating insurance business to hire a Senior Quantitative Developer into their Analytics Product Engineering team.

This team builds and evolves a bespoke analytical platform that underpins complex modelling, simulation, and portfolio management capabilities. The environment is highly technical, combining advanced mathematics, high-performance computing, and modern software engineering.

This is not a typical Back End role. It is best suited to someone from a quantitative development background within financial services or scientific domains, who enjoys solving deeply complex problems and working on systems with many interdependent components.

The Role

You will play a key role in the evolution of a sophisticated analytics engine, responsible for simulation, modelling, and large-scale data processing.

The position requires someone who can operate at the intersection of:

• Mathematics
• Software engineering
• Computational performance

You will work closely with engineers, actuaries, and senior stakeholders to deliver robust, scalable solutions, while also contributing to the long-term technical direction of the platform.

For senior candidates, there is a strong expectation to identify, manage, and reduce technical debt, improving system performance and maintainability over time.

Key Responsibilities

• Design, build, and optimise components of a complex analytics and simulation platform
• Work on systems with multiple moving parts, ensuring performance, scalability, and reliability
• Translate mathematical and modelling requirements into efficient production-grade code
• Contribute to simulation and modelling frameworks, including performance optimisation
• Collaborate across engineering and actuarial teams to deliver high-impact solutions
• Improve and evolve Legacy systems, balancing short-term delivery with long-term architecture
• Promote engineering best practices, including testing, documentation, and code quality
• Contribute to technical decision-making, including managing and reducing technical debt

Skills & Experience

• Strong academic background in Mathematics, Physics, Engineering, Computer Science, or similar highly quantitative field
• Experience as a Quantitative Developer, or in a similar mathematically intensive engineering role
• Proven experience working on complex systems (eg simulations, modelling platforms, pricing engines, risk systems)
• Strong programming skills in languages such as Python, C++, C#, or similar
• Experience with high-performance or parallel computing environments
• Solid understanding of:
  • Numerical methods
  • Linear algebra
  • Probability & statistics
  • Algorithm design
• Experience working in collaborative engineering teams (ideally mid-sized environments)
• Understanding of software design, architecture, and technical trade-offs
• For senior candidates: ability to recognise and address technical debt

Nice to Have

• Exposure to financial services (quant, pricing, risk) or insurance domains
• Experience working on simulation-heavy or scientific computing problems
• Familiarity with large datasets and distributed systems
• Exposure to Julia, or willingness to learn (this is a core technology in the team)

Why Apply?

• Work on genuinely complex, intellectually challenging problems
• Join a team that blends deep quantitative thinking with strong engineering
• Opportunity to work with modern tools and high-performance systems
• Be part of a business where the analytics platform is core to commercial success
• High-impact role with strong ownership and technical influence