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.
The Realtime Quant Frameworks team builds the workflow orchestrator at the heart of G-Research's compute. Users describe the work they want done and trust us to run it, while we abstract away the infrastructure and scale underneath. That places us on the critical path of quant research.
At this scale, simple things become hard: keeping orchestration performant as workflows grow, keeping the service resilient when something goes wrong and showing users their progress in real time. Our work also covers the libraries and APIs that quants use every day, the real-time user interface and its backend service, and observability.
A strongly typed domain model is central to everything we build, and we lean heavily on property-based and model-based testing. We use AI coding agents extensively, and types and tests are how we check their work. Our stack includes F# for core services, Python and .NET SDKs, a TypeScript/React interface, Postgres and Kubernetes.
We are a co-located, growing team and our users sit close by, so you will see the impact of what you build almost immediately. We agree goals with our users and decide how to meet them. Process is light and you own what you ship. We share a weekly support rota, and out-of-hours calls are rare.
Who are we looking for?
