Quant Research Internship

G-Research; Greater London; On-site; GBP 113,750 - 159,250; Full time

Benefits offered by this job

Accommodation

Lunch provided

Leave entitlement

Casual dress code

Social activities

Central London office

Job summary

G-Research invites applications for a 10-week Summer Research Programme in London.Participants will tackle a challenging research project that combines mathematical and computational analysis to extract predictive signals from financial time-series.

You will work with a Quantitative Researcher mentor and explore methods including modelling, deep learning and optimisation, with opportunities to back-test and simulate portfolio performance while networking with peers in a world-class research

Qualifications

• Strong mathematical background.
• Programming in at least one OO language, ideally Python or C#.
• Interest in applying data science, ML and optimization to real-world problems.
• Final or penultimate year of a Masters or PhD in a technical/quantitative subject, PhD preferred.
• GitHub or Kaggle profiles desirable.

Responsibilities

• Work on a meaningful research project applying mathematical and computational analysis.
• Use techniques from mathematical modelling, deep learning, optimisation and ML.
• Develop and test signals from financial time-series and assess predictability.
• Collaborate with a Quantitative Researcher mentor and receive structured feedback.

Skills

Strong mathematical background

Python or C# programming

Data science / ML interest

Education

Masters or PhD in quantitative subject

PhD preferred

Tools

GitHub

Kaggle

Job description

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 (21st June - 27th August 2027)
• 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.

Throughout the internship, you will collaborate closely with a Quantitative Researcher who will mentor you as you complete 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 quantitative finance. You will also have the opportunity to explore London and get to know your fellow interns and colleagues through a full itinerary of 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 have the following skills and experience:

• Strong mathematical background
• Intermediate level of programming in at least one object‑oriented language, ideally Python or C#
• Interest in applying data science, machine learning and optimisation techniques to real‑world problems
• 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, with a PhD preferred
• Active GitHub or Kaggle profiles are desirable but not essential
• Previous experience in finance is not required, but an interest in finance and a willingness to learn are essential

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.