Quantitative research & machine learning

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.

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.

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.

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.

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.

• Company pension scheme
• Annual discretionary bonus scheme
• Season ticket loan
• Give as you Earn (GAYE)
• Risk protection benefits
• Charity fundraising matching scheme
• Generous relocation and immigration assistance

• Comprehensive private health insurance, including GP access, dental and vision
• Enhanced health support for male and female health, fertility, family forming, maternity and menopause journeys
• Healthcare cash plan covering a wide range of routine and complimentary healthcare expenses
• Employee Assistance and Wellness Programmes

• 30 days’ annual leave, with an extra five days for those who are office based
• Enhanced leave polices to support our people and their family needs
• Back‑up dependent care for children, adults and pets
• Complimentary travel insurance for our people and their families
• Cycle schemes
• Gym and Fitness membership subsidies
• Free lunch and complimentary barista bar
• Regular company socials
• Informal dress code and excellent work‑life balance
• Talks from world‑class guest speakers

“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.”

“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.”

“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.”

Stage two:
Technical interviews – typically, you will sit four interviews, one of which will focus on in‑depth technical questions in mathematics. Each interview will last one hour.

If your profile is better suited to ML, you’ll complete two one‑hour interviews that focus on your ML knowledge. You should also expect questions on mathematics, programming and statistics that are relevant to the space.

Stage three:
Leadership interviews – following the successful completion of the technical interviews, you will meet some of our leaders.

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…