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A financial technology company based in London is seeking a Software Engineer specializing in Realtime Quant Frameworks. You will shape the platforms that support innovative research, ensuring resilience and operational efficiency in a globally distributed automated trading system. The ideal candidate will possess experience with F#, Python, and cloud-native technologies, plus strong problem-solving abilities. This role offers competitive compensation and substantial benefits, including a generous leave policy and comprehensive welfare programs.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
From our London HQ, we unite world‑class researchers and engineers in an environment that values deep exploration and methodical execution — because the best ideas take time to evolve. Together we’re building a world‑class platform to amplify our teams’ most powerful ideas.
As part of our engineering team, you’ll shape the platforms and tools that drive high‑impact research – designing systems that scale, accelerate discovery and support innovation across the firm.
Take the next step in your career.
We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale — executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission‑critical.
As a Software Engineer in Realtime Quant Frameworks, you’ll play a key role in helping our quant researchers move faster across our large scale compute estate — building systems that reduce the complexity of running workloads across massive compute farms and providing real‑time support to keep research running smoothly and efficiently.
A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs — the main interface our quants use day‑to‑day.
You’ll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real‑time visibility into workload progress.
Beyond that, you’ll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data — creating flexible, high‑performance systems that go well beyond the quant finance domain.
The ideal candidate will have the following skills and experience: