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 roleWe are hiring Software Engineers to join our Trade Technology function, where we design, build and maintain our globally distributed trading system.
You will design and implement the systems, tooling and workflows that ensure the distributed platform is robust, observable and engineered for speed and safety. This includes owning the engineering infrastructure that supports deployment automation, real-time diagnostics and fault-tolerant operations.
Engineering underpins our continued growth and success, and we are committed to hiring and developing the world’s best Software Engineers.
Key responsibilities of the role include:
Designing, building and evolving production-grade trading platforms and services end-to-end
Optimising software performance, throughput and efficiency at scale
Contributing to the reliability and operational excellence of critical systems, including participation in production support rotations
Applying strong software engineering practices across testing, code quality, automation and observability
Participating in a shared production support rotation, responding to incidents, troubleshooting runtime issues and driving improvements
The ideal candidate will have the following skills and experience:
Strong background in software engineering, ideally in distributed, real-time systems
Experience in at least one typed language, such as Java, Kotlin, C#, C++ or Rust
Experience with containerisation and orchestration technologies, such as Kubernetes, in production environments
A passion for developing robust, maintainable software, that's well monitored in production
Above all, we value clean, maintainable code, sound engineering judgement and a business-value mindset over specific toolkits.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Lunch provided (via Just Eat for Business) and dedicated barista bar
30 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
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
Skills Required
- Strong background in software engineering, ideally in distributed, real-time systems
- Experience with containerisation and orchestration technologies, such as Kubernetes, in production environments
- Familiarity with observability tooling and practices, such as Victoria Metrics, Prometheus, Grafana, OpenTelemetry and SLOs
- Well-developed debugging skills with the ability to navigate unfamiliar systems
- Proven track record of contributing to fault-tolerant, high-availability platforms
- Proven ability to build and deploy software in resource-constrained environments
- Comfort working in a federated model, engaging across multiple engineering teams
- Focus on continuous improvement, reducing the need for manual intervention through engineering
What We Do
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets. We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.
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