Compute Operations Engineer (Sandwich Degree)

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

Location: London

Apply Now

Ross Cloud Engineering Manager

"My favourite thing about working here is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company."

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Get to know us

What is it like working at a leading quantitative research and technology firm?

Watch our video

We are G-Research, a leading quantitative research and technology firm. From our offices in London and Dallas, we bring together world class researchers and engineers in a collaborative culture that values deep exploration, methodical execution, and long-term thinking. We apply scientific rigour, advanced machine learning, and cutting edge technology to tackle the hardest problems in finance, to predict movements in global markets. We are hiring. Build your career and bring your ideas to life in a culture that amplifies your impact and supports your growth. Discover where your curiosity could take you.

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What our people say

Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work here."

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Mia Software Engineer

"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."

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Neil Corporate IT Manager

"My favourite part of working for G-Research is that technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition."

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Matteo Quantitative Research Intern

"One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."

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Margot HRIS manager

"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."

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Alexander Software Engineer

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

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Simon Cyber Security Manager

"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research's belief in fostering growth and recognising potential."

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Sebastian Senior Quantitative Researcher

"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

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Yang Quantitative Researcher

"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

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Yousuf Machine Learning Engineer

"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."

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