At G-Research, we are passionate about the intersection of finance, technology, and the future.
We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and are keen to nurture their talent in our collaborative working environment.
"My team and I have access to a wide range of training opportunities, which allowed us to get the entire team AWS certified within a quarter. We’re actively working on the latest AI and Machine Learning projects to stay ahead of industry standards."
"The problems we solve are often novel in nature, meaning we get to solve the previously unsolved. I find this to be a great way to stay challenged and engaged!"
"The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me."
"The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible."
"It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!"
"The best thing about working at G-Research is being around such smart people, it motivates you to always want to grow and learn."
"What I’ve enjoyed most about working at G-Research is the people and how willing they are to invest their time and effort in order to achieve the best possible outcomes; everyone here is collaborative and always willing to help."
"I continue to be blown away by the quality of the people I get to work with here: G-Research thrives because of its team culture and we’ve hired carefully to make sure everyone is both exceptionally smart and great to work with."
"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."
"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work at G-Research."
"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."
"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research’s belief in fostering growth and recognising potential."
"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 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."
"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 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."
"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."
"There was a lot I didn't know about the 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."
"My favourite part of working for G-Research is that Technology is at the heart of everything we do at the company, driving the business forward and enabling us to stay ahead of the competition."
"Before G-Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time."
"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)."
"My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together. It’s also great to be able to use the latest tech, like Kubernetes and Kafka."
"My favourite thing about working at G-Research is the people. G-Research strives to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company."
We are passionate about nurturing the next generation of STEM talent. We partner with some of the most impactful charities and institutions, whose missions are to make careers in research and technology more accessible.
Hear from Austin, Analytics Services Principal Engineer, about how we optimised Kafka producer performance to handle high-latency network links while maintaining high throughput.
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In this NeurIPS paper review series, Julian, Quantitative Researcher, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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In this NeurIPS paper review series, Andrew, Quant Research Manager, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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