Machine Learning Research Internship

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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

• 10-week summer programme (June to September 2023)
• 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 Machine Learning practitioner at a leading quantitative finance research firm.

Our full-time ML researchers use a wide range of tools and techniques in an applied setting, putting their expertise to use in direct, production-ready applications with immediate results.

They have access to vast computing resources and are limited only by their imagination. As an ML intern, you will have the opportunity to experience some of this as part of a 10-week programme working on a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.

You will be paired with a mentor who will supervise your work and provide ongoing feedback to help you improve and develop, as well as access to senior staff who are leaders in their fields. Your internship will culminate 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.

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 the following skills and experience:

• A post-graduate degree in Machine Learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle
• Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference
• Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work with our data, so you will need to understand how to develop your own models
• Strong programming skills and experience working with Python, scikit-learn, SciPy, NumPy, Pandas and Jupyter

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

Please note, because we offer graduate roles to strong performers from our intern cohort, we are only able to consider applications from those graduating in 2024. Interviews will commence in October.

These roles will be fully on-site in our London offices.

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.