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 areseekinga Kubernetes engineer to join our London engineering this roleyoullplay a pivotal part in shaping the platforms that enable our research and trading teams to runcutting-edgeworkloads at scale.
You willbe responsible fordesigning building andoperatingmatureKubernetes-based infrastructure that issecure resilient and highly automated ensuring it can support a wide range of demanding compute requirements.
Our environment spans everything fromGPU-intensive machine-learning model trainingtoultra-low-latency trading workloads requiring meticulous attention to performance reliability and closely with researchers engineers and traders to deliver platforms that not only meet immediate needs but alsoanticipatefuture growth and innovation.
Key responsibilities of the role include:
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:
IC
We use machine learning, big data & the most advanced tech to predict movements in financial markets.