Summary
✨ AI‑Generated
A leading quantitative technology organization is seeking a Functional Software Engineer to join a research and infrastructure-focused engineering group. You will build systems that help researchers operate efficiently across a vast compute environment, working with functional programming and Python in a highly automated, globally distributed platform.
Highlights
Opportunity to work at the core of a highly automated, globally distributed quantitative technology platform. The role provides exposure to extreme-scale computing, resilient systems, and infrastructure that directly enables quantitative research.
Description
Functional Software Engineer – Research & Quant Foundations (RQF)
You must have experience in Functional programming, using one of the following F#, Scala, Elixir, Haskell, Rust, Lisp, Erlang, OCaml, Caml along with Python.
You will not be considered if you haven't.
Location: London (Onsite 4/5 days per week)
Experience: 4 years, varying levels of experience being considered.
Hires: 3+
Team: 7-8 engineers + manager
We’re working with a top-tier quantitative research and systematic trading firm operating one of the most advanced trading platforms in the world.
Their systems are fully automated, globally distributed, and run at extreme scale - executing millions of trades per day.
Platform resilience, uptime, and operational efficiency are mission-critical.
As a Functional Software Engineer within the Research & Quant Foundations (RQF) group, you’ll sit at the core of the platform, building systems that enable quant researchers to move faster across a vast compute estate.
The focus is on abstracting complexity, improving developer experience, and ensuring large-scale research workloads run smoothly and reliably.
This is a high-bar engineering role for people who care deeply about functional design, correctness, and software quality.
What you’ll be working on
A core scheduling platform written in F#, responsible for distributing very large workloads across massive compute farmsPython and .NET SDKs that form the primary day-to-day interface used by researchersA TypeScript/React UI backed by an F# ASP.NET service, Postgres, and Kubernetes, providing real-time visibility into workload executionTooling and frameworks that enable researchers to build and deploy research platforms and express computations over streaming dataFoundational systems designed for performance, safety, expressiveness, and long-term maintainability
The codebase is approximately 75% F#, with the remaining 25% primarily Python and Rust.
Day-to-day work includes high-end, production-grade Python, but the engineering culture is strongly rooted in functional programming principles.
What they’re looking for
Strong interest and experience in functional programming4+ years of software engineering experience in high-bar environmentsExcellent programming ability with a deep focus on code quality and designExperience with one or more of: F#, Haskell, Rust, Lisp, Erlang, OCaml, Caml, or similarProfessional Python experience beyond scripting or notebooksAn engineer who genuinely cares about developer experienceExposure to compiler work or language tooling is a strong plusMSc or PhD in Computer Science (or equivalent depth of technical background) is highly desirable
This team hires exceptionally well and is scaling deliberately, with three new hires planned.
If you’re excited by functional programming, large-scale distributed systems, and building foundational tooling that world-class researchers rely on every day, this is a standout opportunity.
