Spring Into Quant Finance 2022

Join G-Research’s spring insights week and learn what it takes to become a successful quant at a major quantitative finance business.

Submit your application here

G-Research

G-Research is Europe’s leading quantitative finance research firm. We utilise machine learning, big data, and some of the most advanced technology available to predict movements in global markets.

Based in London with around 1,000 employees, we boast a fun, academic culture that generates cutting-edge research that makes us among the best in the world at what we do.

Insights week

Spring into Quant Finance is G-Research’s week-long residential programme, hosted in the 2022 Easter holidays, that provides students with an introduction to the world of quantitative finance.

Hosted at a 5* hotel in the countryside just outside of London, successful applicants will:

• Hear talks on different aspects of the industry
• Undertake specialised training in cutting-edge areas of ML, data science and finance
• Speak with our CEO and Head of Research
• Network with our quantitative researchers
• Receive a £750 stipend and have all expenses paid

At the end of the week, you will have developed a clear idea of what it means to work in quantitative finance, learnt sought-after skills, and built a valuable professional network.

Someone once said, however, that all work and no play is not optimal. So with exclusive use of a luxury hotel, there will be all sorts of fun events and activities in the itinerary, plus use of the hotel’s extensive facilities and grounds. And of course, all food, drink and travel is taken care of – this will include dinner in the hotel’s Michelin-starred restaurant.

The setting for Spring into Quant Finance 2022

After the insights week

All participants will be offered a fast-track pathway into G-Research’s 2023 summer internship. You will also have a big head-start on peers as and when you are ready to transition from academia to business.

Who should apply?

We welcome applications from students from around the world. You should be in the penultimate or final year of your undergraduate degree, undertaking a Master’s, or in the first or second year of your PhD. You should be studying a technical or quantitative subject such as mathematics, machine learning, physics, statistics, engineering, or computer science.

What is the application process?

Applicants should send in a CV and a short cover note to outline their interest in the programme. If you are selected to progress, you will be asked to undertake our quantitative aptitude test and have an introductory chat with our team.

When can I apply?

Applications are now open. There is a rolling deadline but due to high demand we encourage those interested to apply early. We anticipate all places being filled by the end of the year.

Submit your application here