Quantitative research & machine learning

Our Research Lab is a home for curious minds, where our researchers apply deep mathematical, statistical and scientific rigour to tackle some of the most complex challenges in quantitative finance.

View opportunities

Mathematical modelling

We combine cutting-edge technology with world-class resources to create algorithmic platforms for our clients.

Using rigorous scientific methods, we analyse vast, complex datasets to uncover deep, actionable insights. Our platform enables researchers to test hypotheses, build models and receive instant feedback, accelerating innovation at every step.

We then design and implement advanced optimisation techniques to extract maximum value from every idea.

Machine learning

Our researchers challenge the efficient market hypothesis every day, a task that demands more than textbook methods.

To stay ahead, they harness massive compute power and apply cutting-edge machine-learning techniques, whether drawn from the latest research or developed in-house. Innovation is essential; in a world of constant competition, only novel approaches deliver an edge.

Machine Learning College

We don’t just hire some of the best ML practitioners in the world, we also develop the next generation of talent too, through G-Research Machine Learning College.

Find out more

Inspirational mathematicians

Our researchers come from leading global institutions, often joining us after completing PhDs or postdoctoral work, with publications at the world’s most prestigious conferences.

We empower them with the autonomy to shape their research, supported by a collaborative and intellectually stimulating environment that values curiosity, creativity and deep thinking.

What our people say

Sebastian Senior Quantitative Researcher

"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

Find out more

Yang Quantitative Researcher

"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

Find out more

Clement Senior Quantitative Researcher

"My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on."

Find out more

Leon Quantitative Research Manager

"There was a lot I didn't know about G-Research, so I gained insights from those who interviewed me. They all came across as intelligent, curious and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will."

Find out more

Fabian Senior Quantitative Researcher

"The two biggest things that I like about working at G-Research are the smart and incredibly friendly colleagues, as well as being able to strike a really good work-life balance, in contrast to a lot of the finance industry."

Find out more

Our opportunities

Thrive in a collaborative and dynamic environment where smart people learn and grow together.

Search open roles

Quant Research

Data Vendor Analyst London Internship in Quantitative Research London Machine Learning Research Internship London Data Scientist London Machine Learning Researcher London Quantitative Researcher – Postgraduate London Execution Quantitative Researcher London Quantitative Researcher – Fundamental Equity Research London Quantitative Researcher – Experienced London Natural Language Processing Researcher London Quantitative Analyst London

Assessment process for quantitative
research and machine learning

Our quantitative researchers and ML practitioners have a record of academic achievement in mathematics, physics, ML, computer science or engineering. There’s no need for experience in finance.

Online application

Quick and easy: We will ask for your CV/resume and a few personal details like your education and contact information. Our Talent Acquisition team will review your application to see if you are a good fit, and you will receive an update on the status of your application within one week of applying.

Interview preparation guide

Stage one: Online quant quiz

You will be asked to complete one of two quant quizzes: either a general quantitative aptitude assessment, or an ML specific one, depending on your background.