Machine Learning Researcher

About G-Research

G-Research is a leading quantitative research and technology firm with offices in London and Dallas. We employ some of the best people in their field and nurture their talent in a dynamic, flexible, and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This role is based in our new Soho Place office, opened in 2023, located in the heart of Central London and home to our Research Lab.

The Role

Our researchers face the challenge of disproving the efficient market hypothesis every day. This requires harnessing massive compute power and using state-of-the-art machine learning (ML) techniques—either published in recent conferences or developed entirely in-house—as textbook methods won’t beat the competition.

ML is integral to developing successful investment management strategies and is a core driver of our overall performance and success. It has long been a key tool at G-Research, and we count a range of ICML and NeurIPS published researchers among our team.

Our ML practitioners have access to vast amounts of clean data and near-infinite compute power, enabling them to explore cutting-edge methods and find the critical 1% difference. Unlike pure academic problems, our researchers receive near-instantaneous feedback in the form of absolute numbers, where success is measurable and directly impacts the business.

As a team, we read the latest publications in the field, discuss them within our vibrant, collaborative research community, and attend leading conferences worldwide, such as NeurIPS and ICML.

In this research role, you will develop and test your ideas with real-world data in an academic environment.

Who Are We Looking For?

• Post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. Exceptional candidates with a proven record of success in online data science competitions, such as Kaggle, will also be considered.
• Experience in one or more of the following: deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, natural language processing (NLP), or approximate inference.
• Excellent reasoning skills and strong mathematical ability are crucial, as off-the-shelf methods do not always work on our data, requiring development of custom models.
• Strong programming skills and experience with Python, Scikit-Learn, SciPy, NumPy, Pandas, and Jupyter Notebooks are desirable. Experience with object-oriented programming is beneficial.
• Publications at top conferences such as NeurIPS, ICML, or ICLR are highly desirable.

Why Should You Apply?

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided via Just Eat for Business and a dedicated barista bar
• 35 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

Inclusion and Accessibility

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and place great value on diversity of experience and opinions.

We strive 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.