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

Quantitative Research London, United Kingdom


Description

You will join our team of exceptional mathematicians researching systematic investment 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 impossible, 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.

Using the latest machine learning modelling techniques, robust statistical analysis and pattern recognition, you will analyse thousands of asset price time series, extracting deep insights. This is a pure research role where you will have the freedom to develop and test your ideas with real-world data in an environment that resembles academia: you are only limited by your imagination!

Who are we looking for?

You will have an interest in applying mathematical concepts to real world financial problems, to implementing theoretical insights as working code, and 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.

The Company

G-Research is a leading quantitative research and technology company. We use scientific techniques, big data and world-class technology to predict future movements in financial markets, and we develop the platform to deploy these ideas globally across multiple asset classes. We offer a dynamic, flexible and highly stimulating environment where good ideas are prized and rewarded.

Why should you apply?

Work on projects that are critical to the success of our business

Excellent growth and advancement opportunities.

Relaxed environment with a relaxed informal dress code.

Great work/life balance with fantastic benefits package including comprehensive healthcare and life assurance, 25 days holiday, contributory pension scheme, cycle scheme, gym subsidy, monthly company events and many more!

Market-leading compensation plus annual discretionary bonus.