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.

This is a pure research role that would suit those who enjoy finding relationships in large data sets and working out how to interpret these results.

Who are we looking for?

The ideal candidate will be an expert in Natural Language Processing, through academic or industry experience (or both).
You will join a team of quantitative researchers working on very large text-based data sets, applying the latest techniques for entity recognition and sentiment extraction, with the goal of identifying features of real time text feeds that can we used to predict future behaviour of financial markets.
You will play an active role in building and improving our NLP pipeline.
You will have an interest in applying mathematical concepts to real world financial problems, and 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). PhDs in NLP are especially desirable.
Publications at leading NLP conferences such as NIPS, ICML, NLP and ACL will also be an advantage.

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.

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

Quantitative Researcher in Natural Language Processing (NLP)