Skills

Communication Python Go GitHub Docker Kubernetes Monitoring Networking Research Linux Ubuntu Virtualization Programming Azure AWS Openstack

Job Specifications

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.

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

About the Company

We are a leading quantitative research and technology firm. We hire the brightest minds in the world to tackle the biggest questions in finance. We pair this expertise with machine learning, big data, and emerging tech to predict movements in financial markets. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment. Looking to make a... Know more