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 were building a world-class platform to amplify our teams most powerful ideas.
As part of our engineering team youll 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 are seeking an exceptional Engineering Manager to lead our Compute Performance Engineering team. The teams mission is to optimise large-scale workloads across our Linux HPC and Kubernetes compute environments.
This is a hands-on impactful role where you will design and implement techniques to maximise utilisation of our cutting-edge compute infrastructure ensuring researchers and engineers achieve the best possible performance on current and future systems.
You will work closely with internal research and infrastructure teams to profile and analyse workloads eliminate bottlenecks and develop reference solutions. Your work will directly influence the evolution of our platforms shaping the architecture software stack and tooling that underpin large-scale machine learning computation.
Key responsibilities of the role include:
We need a technically credible leader with a passion for performance at scale. Youll bring a combination of deep systems knowledge with the ability to lead and grow a high-performing team.
The ideal candidate will have the following skills and experience:
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
Required Experience:
Manager
We use machine learning, big data & the most advanced tech to predict movements in financial markets.