Software Engineering Internship (Architecture & Innovation) in London

Do 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 dynamic, flexible and highly stimulating culture where world‑beating ideas are cultivated and rewarded.

The role is based in Central London and runs from 31st March 2025 or 30th June 2025 to 19th September 2025, with working hours from 09:00 to 17:30.

We are currently seeking the brightest students to join our 12 or 24‑week summer internships between their penultimate and final year of study, finishing in September. The Architecture & Innovation function is responsible for the future technology direction of the business. It comprises three teams:

• The Architecture Practice team works with a range of business and technical stakeholders to agree the technical roadmap and ensure requirements are articulated clearly.
• The Technology Innovation Group is a fast‑paced, interdisciplinary team supporting our Researchers and Engineers in taking advantage of next generation hardware and software across the full stack.
• G‑Research Open‑Source Software works with the open‑source community to get involved in future roadmaps, influence engineering directions and make contributions to open‑source machine learning frameworks and libraries.

We are transforming our platforms from a suite of mostly in‑house enterprise solutions to cloud‑style distributed systems that leverage the best of open‑source and third‑party offerings. As we evolve our technology, we are also evolving the way we work. Innovation happens at the blurry edge of disciplines, so we work cross‑functionally to generate new ideas and business opportunities.

Responsibilities

Successful candidates will work on projects such as:

• Building proof‑of‑concept implementations that validate new products and services or demonstrate new approaches and methods.
• Creating working examples of machine learning models to run on alternative hardware accelerators.
• Adapting existing models to evaluate different hardware accelerator architectures, for example to improve model training speed.
• Helping to identify gaps in new vendor technologies and tool chains.
• Creating and using benchmarking frameworks to quickly and effectively performance and stress‑test new technologies against the different kinds of workload we have.
• Helping to integrate new hardware accelerators into existing G‑Research tool chains and CI/CD pipelines.
• Creating papers and talks on how new ML accelerator hardware can be used within G‑Research.
• Analysing current and future needs from the Research and Trading stack and finding ways to unlock additional value.
• Identifying use cases and matching them to different hardware accelerators.

Induction and training

Successful candidates will gain an in‑depth introduction to the world of technology within finance, as well as extensive introductions to the internal workings of the business. You will be paired with an experienced Engineer who will mentor you through your time with us. All interns will have access to numerous training courses, including online learning licences to hone your technical skills and soft skill training.

Who are we looking for?

We are looking for competent and practical software engineers with experience of object oriented programming languages, such as C#, Java or C++, alongside excellent academics (studying for a 2:1 or above in Computer Science or Computer Science with Mathematics). You will be enthusiastic and have a genuine interest in both software technology and the underlying hardware, as well as an appreciation of good software architecture, core programming techniques and data structures.

Desired qualifications

• An interest in quantitative finance and an understanding of the role engineering plays within the space.
• The ability to prioritise, plan and deliver to support the wider team and ensure work remains on track.
• The ability to identify opportunities for improvement and a proactive approach to learning to stay ahead of the technology curve and identify how we can adopt new technologies in the ways we work.
• Balanced judgement, with the ability to evaluate different approaches and identify appropriate solutions.
• Adaptable communication style and approach, tailored to your audience, in order to convey compelling messages.
• The ability to understand the needs and challenges of others and present mutually beneficial solutions.
• A collaborative approach and a desire to build effective relationships across the business.

Why should you apply?

• Highly competitive compensation.
• Informal dress code and excellent work/life balance.
• 30 days' holiday pro‑rata.
• 9% company pension contributions.
• Opt‑in private health insurance.
• Monthly company events.
• Central London office close to five stations and six tube lines.

Interview process

Successful applicants at the CV review stage will be invited to sit a technical test. If you pass, you will then be invited to take part in a series of interviews. 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 2026. We will respond to applications from September 2024 and begin interviewing in October.

Equal opportunity statement

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.