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.
Every breakthrough is built on strong our Enterprise Infrastructure team youll work across disciplines to drive the strategy culture and structure that enable our success.
We are offering a 12-month industrial placement for an undergraduate student to join our Linux Engineering teampart of the wider Enterprise Infrastructure function at G-Research.
This team designs builds and supports the Linux platforms that underpin our research and compute environments. As a placement student youll contribute to the automation configuration observability and security of large-scale Linux infrastructure. Youll gain experience across multiple layers of the stackfrom image creation and system provisioning to platform monitoring and API development.
This is an excellent opportunity to work with modern tooling and solve real-world technical challenges in a highly collaborative engineering environment.
Key responsibilities of the role include:
Were looking for a proactive curious student who wants to go beyond simply using Linux and start building with it.
The ideal candidate will have the following skills and experience:
Its a bonus if you bring:
Please note: Due to our focus on developing future talent this opportunity is only open to candidates graduating in 2028.
Why should you apply
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
We use machine learning, big data & the most advanced tech to predict movements in financial markets.