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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