Quantitative Researcher (Data Science/Machine Learning/Mathematical Modelling)

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

We research systematic trading ideas that predict the future of financial markets, applying scientific techniques to find patterns in large, noisy and rapidly changing real-world data sets. We are working on the fringes of the possible, trying to beat the efficient market hypothesis with the full “big data” tool set. We also build on the latest academic research into optimisation methods to find innovative solutions to the complexities that Markowitz ignored.

This is a pure research role where you will be able to develop and test your ideas with real-world data in an environment that resembles academia.

Machine Learning College

Machine Learning (ML) College is G-Research’s new, in-house learning programme. Its aim is to develop those with requisite mathematical ability and underlying interest in machine learning into full-fledged ML experts through a world-class, custom curriculum. ML College will be available exclusively to new and existing Quantitative Researchers at G-Research, so if you join us in this role you’ll be able to take advantage of a learning experience tailored to accelerate your knowledge and expertise in machine learning quickly and effectively. Find out more about the G-Research ML College here.

Who are we looking for?

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

• You will have an interest in applying mathematical concepts to real world financial problems
• An interest in implementing theoretical insights as working code
• You will have, or be working towards gaining, a Masters or PhD degree in a highly quantitative subject (mathematics, statistics, computer science, physics or engineering)
• Previous financial experience is not required, although 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% company pension contributions
• 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.