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NLP Research Internship

Computer Science/Software/Robotics/Data Science/Maths.

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G-Research is Europe’s leading quantitative finance research firm. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.

The role

Engineering The Next Generation: G-Research in partnership with the IET & ITN Productions

Engineering The Next Generation

  • 10-week summer programme (June to September 2023)
  • 09:00-17:30 working hours
  • Based in Central London

Over the course of 10 weeks, Natural Language Processing (NLP) Research interns will gain a unique insight into the world of quantitative finance and work at the cutting-edge of what we do at G-Research.

NLP has developed rapidly over the last three years and NLP’s “ImageNet moment” has sat at the centre of this through advances such as contextualised word embeddings, massive pre-trained language models, and novel neural network architectures.

G-Research has followed the same trend. We apply the latest tools to tasks like named entity recognition and entity linking, sentiment analysis, knowledge graphs, and topic modelling, across enormous datasets, to keep us at the forefront of industry.

As an NLP Research intern, you will have the opportunity to work on a meaningful and challenging research project that demands the application of innovative mathematical and computational analysis, as well as the latest NLP techniques described above.

You will collaborate with a Quantitative Researcher, who will act as a mentor, as you work on your independent project and receive structured feedback and reviews to help you to improve and develop during your time with us.

This culminates in a final presentation of your research – based on real-world datasets from finance and non-finance sourced – 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.

A high percentage of our interns go on to join G-Research on a full-time basis on completion of their academic studies.

Who are we looking for?

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

  • An interest in NLP; academic experience is highly preferable
  • Strong background in mathematics
  • Intermediate level of programming in Python
  • An interest in applying data science, machine learning and optimisation techniques to real-world problems
  • Experience in handling large and complex data sets. Model training experience would also be highly advantageous

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 annual discretionary bonus
  • Lunch provided (via Just Eat for Business) and dedicated barista bar
  • 30 days’ annual leave
  • 9% contributory pension scheme
  • Informal dress code and excellent work/life balance
  • Comprehensive healthcare and life assurance
  • Cycle-to-work scheme
  • Monthly company events

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.

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Opportunity Overview

  • Deadline: Ongoing
  • Starting: June 2023
  • Starting Salary: Competitive + benefits
  • 2:1 and above (expected)
  • 10 weeks
  • London
    (Show map)

Preferred Disciplines...

  • Computer Science
  • Data Science
  • Maths
  • Physics
  • Robotics
  • Software

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