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G-Research

Quantitative finance research applying rigorous methods

Software Engineer - Compute Orchestration

Backend EngineeringUpdated on Nov 11
Full-timeLondon, UK

About the Job

Requirements

  • You have built production systems at scale and understand how to keep them reliable and performant as they grow.
  • You measure before optimising and build systems that indicate when they are unhealthy.
  • You support design arguments with a prototype or benchmark.
  • You can explain difficult trade-offs at the appropriate level to quants, infrastructure engineers, and people less close to the technical details.
  • You have written substantial code in a functional language such as F#, OCaml, Haskell, Erlang, Elixir, Scala, Rust, or a similar language, or are keen to do so.

Responsibilities

  • Build and maintain the workflow orchestrator used by quantitative research workflows across a large, multi-site compute farm.
  • Scale the platform as workflows grow towards billions of jobs.
  • Develop the libraries and application programming interfaces used by quantitative researchers.
  • Develop the real-time user interface and its backend service.
  • Implement observability through metrics and alerting.
  • Participate in a shared weekly support rota; out-of-hours pages are very rare.
  • Work with users to agree goals and determine how to meet them.
  • Own the systems and changes you ship.

Desired Qualifications

  • Functional programming experience is a bonus; experience with F#, OCaml, Haskell, Erlang, Elixir, Scala, Rust, or similar is valued.
  • Knowledge of the difference between applicatives and monads in the context of orchestrating a directed acyclic graph (DAG) is especially valued.

About the Company

G-Research

Quantitative finance research applying rigorous methods

G-Research applies scientific rigour to solve complex challenges in financial markets. It brings together world-class researchers and engineers to develop data-driven models and trading ideas, testing them through rigorous experimentation and robust infrastructure. Unlike many traditional asset managers, its culture emphasizes deep exploration, reproducibility, methodical execution, and long-term thinking. The goal is to generate alpha through disciplined, evidence-based research that informs investment decisions and advances understanding of financial markets.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2001

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