From your first conversation to your final interview, our process is built to challenge, inspire and help you show us what makes you exceptional. Here’s what you can expect:
Quantitative researcher roles
Turn bold ideas into breakthroughs. At G-Research, our team of world-class minds push the limits of data and discovery through intellectual challenge and innovation. Join us, and lead the next era of quantitative research.
Quantitative research vacancies
Quant Research
Quantitative Researcher – Fundamental Equity Research
London
Quantitative Researcher – Experienced
London
Natural Language Processing Researcher
London
Quantitative Analyst
London
Internship in Quantitative Research
London
Machine Learning Research Internship
London
Natural Language Processing Internship
London
Data Vendor Analyst
London
Quantitative Researcher – Postgraduate
London
Machine Learning Researcher
London
Working for a quant research company: Why G-Research?
At G-Research, exceptional talent is rewarded with more than a great role, it’s a world-class career. We believe great work happens when people feel supported. We ensure our quant researchers are recognised for their contributions with a market-leading compensation and benefits package. Our culture values balance and wellbeing, with generous holiday allowances and dependent care schemes, as well as perks such as gym membership subsidies that help you thrive in and out of the office.
Here you’ll never hit a ceiling. Working at the forefront of quantitative finance and machine learning, you’ll collaborate with brilliant minds, explore new ideas and continuously learn.
What the quant team say
"My internship was a hugely valuable experience that sharpened my skills and gave me a new perspective on building models with real-world impact."
"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."
"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."
"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."
"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."
What is the application process?
Online Application
Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.
Stage One: Technical Interview
You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.
Stage Two: Behavioural Interview
We will set aside technical skills and focus on you.
Stage Three: Further Technical Interviews
Here, we will take a deeper dive into your technical skills and competencies.
Stage Four: Management Interviews
The final stage of our interview process is where you will meet members of your team, your future manager, and functional leadership.
Quant researcher career pathways
Many start their career with us by mastering the fundamentals as junior researchers and building deep technical expertise before moving into senior quant, strategist or leadership roles – while others join at a more advanced level to lead projects and push research in new directions.
With specialisms spanning high-frequency trading, machine learning, data science and risk modelling, there’s no single route to success – only opportunities to explore where your skills and interests take you. Supported by mentorship, world-class resources and a culture that values intellectual freedom, you’ll grow faster and go further. Take a look at our career path guide and see where your career could take you.
