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G-Research

Software Engineering Internship

Reposted 16 Days Ago
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In-Office
London, Greater London, England
Internship
In-Office
London, Greater London, England
Internship
Internship involves designing maintainable code for large datasets, supporting production platforms, and collaborating with researchers to improve data quality while writing production-level code.
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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.

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.

Take the next step in your career.

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

We are looking for exceptional students to join us for a 12-week or 24-week summer internship within our world-class technology teams.

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

As part of your internship, you’ll 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’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

We value people who:

  • 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

Why should you apply?

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)

Interview process
  • Online technical assessments

  • Assessment centre

  • Final interview

Please note: due to the structure of our graduate hiring process, we can only consider candidates who expect to graduate in 2027.

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

Top Skills

C#
C++
Java

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