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.

Every breakthrough is built on strong foundations. In our Enterprise Infrastructure team, you’ll work across disciplines to drive the strategy, culture and structure that enable our success.

The role

• 13th July 2026 – 16th July 2027

• 09:00-17:30 working hours

• Based in Central London

Key Responsibilities of the role include:  

• Running, maintaining and supporting G-Research's Kubernetes & OpenStack platforms day-to-day 

• Maintaining existing and developing new platform tooling and automation 

• Lifecycle management monitoring of Core Compute, Trading and Research platforms   

• Assisting with internal customer support responsibilities 

Who are we looking for? 

We are seeking a motivated and capable student currently enrolled in a Computer Science, degree programme with a placement (sandwich) year, graduating in 2028.

We are looking for an enthusiastic, motivated and skilled undergraduate student with excellent technical and interpersonal skills, keen to gain industry exposure.  

The ideal candidate will have the following skills and experience:

• Exposure to and a good understanding of Linux systems (ideally Ubuntu) 

• Desired programming languages, ideally in Python or Go 

• Basic Networking and File System/Storage knowledge 

• Exposure to source control tools (e.g. Github) 

• A solid understanding of computer systems and hardware 

• Excellent written and verbal communication skills 

• A quick learner who is able to thrive in a challenging and fast-paced environment 

• A demonstrated passion for technology 

• An interest in the Financial Services sector 

Nice to have: 

• Familiarity with containerization tools (e.g. Docker) 

• Experience creating Dockerfiles, building and running Container Images 

• Any level of exposure to or knowledge of Kubernetes 

• Exposure to a cloud computing platform (e.g. OpenStack, AWS or Azure) 

• A basic understanding of virtualization technologies (i.e. VM’s and Hypervisors) 
   

Please note, due to our desire to convert the top of our intern cohort into our graduate programme we are only able to consider applications from those graduating in 2028. We will respond to applications from OCtober, and begin interviewing in November.  

Why should you apply?  

• Highly competitive compensation 

• 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