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 role
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?
The ideal candidate will have the following skills and experience:
- Enjoys hard, open-ended problems and sees them through to a solution you'd stand behind
- Designs APIs to be hard to misuse, while still caring about users and convenience
- Thinks carefully about what a system guarantees when things fail
- Has built production systems at scale and knows what it takes to keep them reliable and performant
- Measures before optimising and builds systems that report when they are unhealthy
- Can explain a hard trade-off clearly to quants, infrastructure engineers and non-specialists
- Experience writing serious code in a functional language (F#, OCaml, Haskell, Scala, Rust or similar) is beneficial, or a keen interest in learning one
- We are hiring at any level and can teach you the language, as how you think about correctness, failure and design matters most. You don't need to have all of the above
AI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows.
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 days' annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
- Experience days: all-expenses-paid, bucket-list outings with colleagues, from Michelin-star tasting menus to European day trips.
Relocation Support
If you're relocating from within the UK or internationally to join us in London, we offer a comprehensive range of support services to assist you all the way. All costs associated with your relocation and immigration are covered by G-Research.
- Concierge service: Your personal consultant will arrange travel, help find your new home and manage your move. They're also on hand to help with more bespoke requests too.
- Immigration support: We'll partner you with an expert consultant who will guide you through the full immigration process.
