As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
- We are looking for exceptional students to join us for a 12-week summer internship within our world-class technology teams.
- These functions are central to our engineering efforts. As an intern you will work across a range of platforms that support our quantitative research. You will contribute to the development, enhancement and modernisation of the systems that underpin our business, gaining valuable experience with both legacy and cutting-edge technologies.
- This is a hands-on engineering role where you will write production-level code, collaborate with experienced software engineers and contribute to high-impact projects from day one.
- As part of your internship, you will receive a structured onboarding experience and be paired with a dedicated mentor. Your mentor will be an experienced engineer who will guide your learning and development.
- In addition to on-the-job training, you will gain access to internal technical and professional development courses, alongside opportunities to increase your financial domain knowledge.
Key responsibilities of the role include:
- Designing and delivering high-quality, maintainable code to work with large and complex datasets
- Supporting and evolving production platforms and research tools
- Partnering with quantitative researchers to understand and improve data quality and value
- Developing and optimising database queries and the underlying infrastructure
- Enhancing internal tools and data processing pipelines used at scale
Who are we looking for?
We’re seeking sharp, curious and pragmatic software engineers who are eager to work at the intersection of finance and technology.
The ideal candidate will have the following skills and experience:
- Studying towards a 2:1 or above in Computer Science or a closely related discipline
- Graduating in 2028 and currently in their penultimate year
- Experience in at least one object-oriented programming language, such as C#, Java or C++
- Strong understanding of core computer science concepts, such as algorithms, data structures and systems architecture
- An interest in how engineering supports quantitative research and complex systems at scale
- A structured, analytical approach to problem-solving with sound judgement
- A proactive approach to improving code, systems and ways of working
- Clear communicate skills across technical and non-technical teams
- A collaborative mindset with a willingness to share ideas, feedback and knowledge
Why join us?
- Highly competitive compensation
- Lunch provided (via Just Eat for Business ) and dedicated barista bar
- 30 days’ annual leave pro rata
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Opt-in private health insurance
- Monthly company events
- Centrally located office (close to five stations and six tube lines)
Relocation Support
If you're relocating from within the UK or internationally to join us in London, we offer a comprehensive range of support services to assist you all the way. Costs associated with your relocation and immigration are covered by G-Research.
- Concierge service: Your personal consultant will arrange travel, help find your new home and manage your move. They're also on hand to help with more bespoke requests too.
- Immigration support: We'll partner you with an expert consultant who will guide you through the immigration process.
About the Company
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.
Take the next step in your career.
How to apply
To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.