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Internship in Quantitative Research

  • Quantitative Research
  • London

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.

Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers.

Take the next step in your career.

The role

  • 10-week summer programme (22nd June to 28th August 2026)

  • 09:00-17:30 working hours

  • Based in Central London

Over the course of 10 weeks, G-Research Summer Research Programme interns gain a unique insight into life as a Quantitative Researcher at a leading quantitative finance research firm.

You will be given a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.

Using rigorous scientific methodology, robust statistical analysis, and pattern recognition, you will extract meaningful predictive signals from financial time-series and use these to predict future dynamics.

Your project will give you the opportunity to use a wide range of techniques in areas such as mathematical modelling, deep learning, optimisation, and machine learning in a practical and challenging context. Additional work may involve the implementation of back-testing frameworks to ensure signal robustness, or the creation of a pipeline which constructs and simulates the performance of a portfolio derived from various input signals.

For the duration of the internship, you will collaborate with one of our Quantitative Researchers who will act as a mentor as you work on your independent project. You will receive structured feedback and reviews to help you to improve and develop, culminating in a final presentation of your research ideas to senior management.

Taking part in G-Research's Summer Internship Programme will give you an in-depth insight into our academic approach to the world of quantitative finance and allow you to explore the thriving city of London, while you get to know your fellow interns and colleagues through a full itinerary of fun social events.

Top performers on the internship will be considered for full-time opportunities on completion of their studies.

Who are we looking for?

The ideal candidate will, at a minimum, have experience in the following areas:

  • Strong background in mathematics

  • Intermediate level of programming in at least one OO language (Python/C# desirable)

  • An interest in applying data science, machine learning and optimisation techniques to real-world problems

  • You should be in the final or penultimate year of a Masters or PhD in a highly technical or quantitative subject such as Mathematics, Physics, Statistics, Engineering or Computer Science. PhD preferred

  • We also like to see active GitHub/Kaggle profiles, but these aren't a prerequisite

  • Previous experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here.

Why should you apply?

  • Highly competitive compensation plus accommodation

  • G-Research community with weekly intern activities

  • Lunch provided (via Just Eat for Business) and dedicated barista bar

  • 30 days’ annual leave pro-rated

  • Informal dress code and excellent work/life balance

  • Central London office close to 5 stations and 6 tube lines

Location: London
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An image of Yang
Yang Quantitative Researcher

"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

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What our people say

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Sebastian Senior Quantitative Researcher

"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

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Clement Senior Quantitative Researcher

"My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on."

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Leon Quantitative Research Manager

"There was a lot I didn't know about G-Research, so I gained insights from those who interviewed me. They all came across as intelligent, curious and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will."

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Fabian Senior Quantitative Researcher

"The two biggest things that I like about working at G-Research are the smart and incredibly friendly colleagues, as well as being able to strike a really good work-life balance, in contrast to a lot of the finance industry."

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Margot HRIS manager

"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."

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Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work here."

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Alexander Software Engineer

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

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Simon Cyber Security Manager

"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research's belief in fostering growth and recognising potential."

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Mia Software Engineer

"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."

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Yousuf Machine Learning Engineer

"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."

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Internship in Quantitative Research Apply now

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