We are a leading quantitative research and technology firm. We combine world-class people with the power of machine learning, AI and advanced analytics to build smart strategies that succeed over time.
We unite world-class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas don’t happen overnight. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
A home for curious minds. We find patterns in noisy, real-world datasets to predict movement in global financial markets – blending mathematical precision with state-of-the-art machine learning.
Enabling innovation at scale. We design and maintain the robust infrastructure and high-performance platforms that transform bold research into real-world results.
Exploring what’s next. We scout, test and integrate the latest technologies — ensuring our teams stay at the forefront of what’s possible.
Driving results through collaboration. We partner with and contribute to the open-source community, building world-class tools that benefit our research and the wider world.
"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 I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."
"My intern experience was really good. You get the opportunity to impact a business, which is important if you’re preparing to enter the workplace. You get to do something useful and see how it gets used; I worked on a project that is still being used now."
"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."
"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."
"Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey."
