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 Storage Development Operations team, you’ll work across disciplines to drive the strategy, culture and structure that enable our success.
This is a role based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab.
The role
Location: London
Dates: 13 July 2026 – 16 July 2027
The Storage Platform Management team is responsible for designing, deploying and operating a diverse range of storage solutions. These include high-performance scale-out clusters, block storage, object storage and archival systems, all of which underpin the research and compute environment at G-Research.
As a Placement Year DevOps Storage Engineer, you will partner with Researchers, Software Engineers, Network teams and leading vendors, including Dell, VAST, HPE and Rubrik, to optimise workflows and resolve issues.
For students with strong coding expertise, there is also the opportunity to contribute to the team’s development backlog, focusing on automation, customer-facing tools and observability enhancements.
Key responsibilities of the role include:
- Monitoring and troubleshooting events affecting platform health
- Conducting deep-dive investigations and supporting incident management
- Analysing HPC workflows used by Research teams to identify opportunities for efficiency
- Operating, maintaining and extending Infrastructure-as-Code (IaC) pipelines and storage tooling
Who are we looking for?
We are seeking a motivated and capable student currently enrolled in a Computer Science, Mathematics or related degree programme with a placement (sandwich) year, graduating in 2028.
The ideal candidate will have the following skills and experience:
- A predicted grade of 2:1 or above, or equivalent
- Interest in building and managing high-performance, scalable and resilient infrastructure solutions
- Linux system administration experience
- Proficiency in Python, or similar programming languages
- Strong interest in GitOps and Infrastructure-as-Code (IaC), with exposure to tools such as Ansible, Jenkins and Kubernetes
- Excellent communication skills, with the ability to collaborate effectively across distributed teams and the wider business
Application process
- Successful applicants at CV stage will be invited to complete a technical assessment
- Those who pass will attend an assessment centre followed by technical interviews with mentors
- Applications will be reviewed from October, with interviews starting in November
- Please note: due to our focus on converting top placement students to graduate roles, we can only consider those graduating in 2028
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- 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
Top Skills
What We Do
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.
We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.
We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.
