TU
Software Engineering Internship
targetjobs UKDo you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.
We are proud to employ some of the best people in their field and to nurture their talent in a progressive, adaptable and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab.
The role
- Dates: 30 March 2026 – 18 September 2026 or 29 June 2026 – 18 September 2026
- Working hours: 09:00–17:30
- Location: Central London
These functions are central to our engineering efforts. As an intern you'll work across a range of platforms that support our quantitative research. You'll 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'll write production-level code, collaborate with experienced software engineers and contribute to high-impact projects from day one.
Key Responsibilities Of The Role Include
- Designing and delivering high-quality, maintainable code to work with large and complex datasets
- Supporting and evolving production trading 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
In addition to on-the-job training, you'll gain access to internal technical and professional development courses, alongside opportunities to increase your financial domain knowledge.
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.
You Should Be
- Studying towards a 2:1 or above in Computer Science or a closely related discipline
- Graduating in 2027 (penultimate-year students only)
- Experienced in at least one object-oriented programming language, such as C#, Java or C++
- Comfortable with core computer science concepts, such as algorithms, data structures and systems architecture
- Interested in how engineering supports quantitative research and trading at scale
- Approach problems with a structured, analytical mindset and a clear sense of judgement
- Are proactive in seeking improvement, whether in code, systems or ways of working
- Communicate clearly and effectively across technical and non-technical teams
- Thrive in a collaborative environment and are willing to share ideas, feedback and knowledge
This internship offers a unique opportunity to build software that directly supports world-leading quantitative research. You'll be part of a high-performance engineering culture that values curiosity, rigour and practical impact.
- Highly competitive compensation
- 30 days' holiday pro rata
- 9% company pension contribution
- Opt-in private health insurance
- Informal dress code and excellent work/life balance
- Monthly company events
- Centrally located office (close to five stations and six tube lines)
- Online technical assessments
- Assessment centre
- Final interview
Job Type
- Job Type
- Internship
- Location
- London, England, United Kingdom
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