Software Engineer - Realtime Quant Frameworks

Overview In this role you will help run and optimize a large-scale, automated trading research platform. You'll build and maintain systems that streamline workload distribution across massive compute farms and provide real-time support to researchers.

You'll contribute to the core scheduling platform and developer-facing tooling, enabling quants to deploy and run experiments efficiently. You will work closely with cross-functional teams to scale systems and accelerate discovery in a fast-paced, research-driven environment.

Pay / Benefits Competitive compensation with annual bonus Lunch provided and barista bar 35 days of annual leave 9% company pension contributions Healthcare and life assurance Cycle-to-work scheme Responsibilities Develop and maintain the core scheduling platform that distributes workloads across large compute farms Provide real-time support to keep research workflows running smoothly Contribute to a TypeScript/React UI and an F# ASP.NET service with Postgres on Kubernetes Enable quants to build and deploy research platforms and express computations over streaming data Extend tooling and frameworks to support high-performance, scalable research compute Collaborate with quantitative researchers to reduce complexity of running workloads Key requirements Extensive background in software engineering, ideally in distributed or high-performance systems Production experience with F#, C#, Python or similar languages Experience with Python in research or data-driven workflows Familiarity with Kubernetes and relational databases Strong problem-solving skills and ability to work closely with quantitative researchers Strong problem-solving Collaborative mindset Ability to work closely with researchers F# C# Python

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