Haskell jobs

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

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.

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.

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