Cutting-edge quantitative research & machine learning (original) (raw)
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.
Why join our team
Industry-leading compensation
A culture that supports your success
Industry-leading compensation
A culture that supports your success
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.
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.
Leading benefits, designed for you
Alongside highly competitive compensation, clear quant research career progression and an annual discretionary bonus scheme, we offer a wide range of benefits and perks tailored to your needs. From health and family to lifestyle and more, we take care of our people.
Our Benefits
Our benefits are designed with our people in mind, with a wide range of flexible options tailored to your needs.
Finance
- 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
Health
- 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
Lifestyle
- 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
We want benefits to work for our people and use a flexible benefits platform to support this – colleagues can opt-in or out of certain benefits and can customise cover levels depending on their lifestyle and personal needs.
What our people say
Peter Quantitative Research Intern
"My internship was a hugely valuable experience that sharpened my skills and gave me a new perspective on building models with real-world impact."
Matteo Quantitative Research Intern
"One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."
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."
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."
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."
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."
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."
Our opportunities
Thrive in a collaborative and dynamic environment where smart people learn and grow together.
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.
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.
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.
Quantitative Researcher Interview Questions
Stage three: Leadership interviews
Following the successful completion of the technical interviews, you will meet some of our leaders.
Latest events
- Quantitative engineering
- Quantitative research
ACCU On Sea 2026
17 Jun 2026 - 19 Jun 2026 Leas Cliff Hall, Folkestone
- Quantitative research
13th Bachelier World Congress
29 Jun 2026 - 03 Jul 2026 University of Bologna, Belmeloro District, Italy
- Machine learning
- Quantitative research
ICML 2026
06 Jul 2026 - 11 Jul 2026 COEX Convention & Exhibition Centre, Seoul, South Korea
Other teams
Engineering
We collaborate with researchers, design real-time platforms and process massive datasets at speed and scale.
Open-source software
We partner with and invest in the open-source community.
Technology Innovation Group
We identify, test and on-board the latest tech, enabling our researchers and engineers to keep innovating.