Software Engineering Internship

Dates: 28th June 2027 - 17th September 2027 Working hours: 09:00 - 17:30

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.

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

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.

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

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)

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