Machine Learning Researcher

Quantitative Research London, United Kingdom


You will join our team of exceptional mathematicians & machine learners 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 employ cutting edge machine learning methods drawn from diverse areas such as neural networks and deep learning; non-convex optimisation; Bayesian non-parametrics and approximate inference.

You will work on a small number of projects concurrently, extending classical methods and developing entirely novel ideas; you will read the latest publications in the field, discuss them within the firm's research community, and attend the leading conferences worldwide. 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?

An interest in practical and theoretical machine learning is a must! You will also have either a post-graduate degree in ML or related discipline, or commercial experience developing novel ML algorithms; we will also consider exceptional candidates with a proven record of success in online data science competitions (e.g. Kaggle).

Excellent reasoning skills and mathematical ability are crucial: the textbook methods rarely work on our data, and you will need to understand how to fix them.

Experience with object-oriented or functional programming is highly desirable: you will be developing your own models and need to operate with our existing codebase.

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.