Senior Software Engineer - Quant Analytics Platform
Senior Software Engineer Quant Analytics Platform
Location: London - On site
Salary: £100,000 - £110,000
A specialist insurance business is investing in its analytical software capability, building out a proprietary platform that underpins underwriting, exposure management & portfolio decision making.
This role sits within a dedicated development team focused on the core modelling platform. The work centres on building & optimising calculation engines & data intensive systems used by actuarial & risk teams.
This is not a traditional web based backend role. The focus is on numerical modelling, large scale data processing & performance driven engineering within a commercial environment.
You will work closely with actuarial, exposure management & project teams to translate complex modelling requirements into robust, production ready systems.
Why join
- Work on a core platform that directly influences underwriting & portfolio decisions
- Build & optimise systems used for actuarial & risk modelling
- Exposure to complex numerical & data intensive engineering challenges
- High standards environment with a focus on long term code quality & platform design
- Established business with strong technical investment & clear direction
What you will be doing
- Designing & developing backend components of a proprietary modelling platform
- Building & optimising calculation engines & data processing pipelines
- Working with large datasets & performance sensitive systems
- Maintaining & improving existing codebases, including modernisation & optimisation
- Translating actuarial & risk requirements into scalable technical solutions
- Ensuring appropriate testing, documentation & traceability across development work
- Contributing to long term platform architecture & engineering best practice
What they are looking for
- Strong backend engineering experience within data intensive or analytical environments
- Experience implementing numerical, statistical or algorithmic logic in production systems
- Strong SQL & experience working with large datasets
- Solid understanding of software development lifecycle & version control in team environments
- Experience with Python or similar languages such as Julia, R or MATLAB
- Exposure to distributed or parallel processing environments
- Ability to work closely with non engineering stakeholders to translate complex requirements
Experience within insurance, actuarial or risk modelling environments would be beneficial but not essential.
Apply now for consideration, we are looking to begin interviews next week.
