Software Engineer
G-Research
Software Engineer
G-Research
Quantitative finance research applying rigorous methods
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.
We build the workflow orchestrator at the heart of G-Research's compute. A single DAG can contain millions of jobs and hundreds of users run workflows concurrently across our large, multi-site compute farm. Researchers describe what they need, and we handle the underlying infrastructure and complexity at scale. This makes our work critical to enabling quant research.
At this scale, even simple tasks become complex. The challenge lies in maintaining orchestration performance as DAGs grow, ensuring service resilience and giving users real-time visibility of their progress.
What you'll work on:
How we build it:
A strongly typed domain model is central to everything we build. A surprising amount of our software is really an interpreter for a small DSL: describe what you want as data, then interpret it.
Data is easy to test, so 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.
What matters most is how you think about correctness, failure and design. Functional programming experience is a bonus, and if you know why the difference between an applicative and a monad matters when orchestrating a DAG, we'd especially like to talk.
How we work:
Our stack:
The ideal candidate will have the following skills and experience:
We’re hiring across all experience levels and value your approach to problem-solving over familiarity with a specific programming language.
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.
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
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.
Explore more opportunities at G-Research