Software Engineering Internship; Architecture & Innovation

Software Engineering Internship (Architecture & Innovation)

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.

• 31st March 2025 or 30th June 2025 to 19th September 2025
• 09:00 – 17:30 working hours
• Based in Central London

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 of 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.

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

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.

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.

• 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…