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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.
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The role
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.
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.
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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.
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Experience with a functional programming language such as F#, Haskell, OCaml, Erlang or Elixir or familiarity with multiple programming paradigms.
- A strong background in software engineering with an inquisitive mindset and principled approach to software development.
- Experience working with F#, C# or Python in production environments.
- Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases.
- Strong problem-solving skills, being able to deliver complex and/or long-term technical projects.
- Ability to communicate with technical stakeholders from different disciplines including quantitative researchers and platform engineers.
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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
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