Want to be part of a leading quantitative research and technology company? Bring your skills and experience to G-Research by applying for one of our many roles.
Working closely with our end-users, we use agile techniques to build the big data analytics and forecasting technology used to predict prices in highly competitive financial markets.
We have a collaborative community of specialist Engineers from a wide range of backgrounds. Everyone here shares a passion for technology and works at the forefront of software development, always learning new ways to improve our software, approach and our skillset.
Everyone is given the freedom to find new solutions, either by developing them in-house or using the latest technology and approaches. We have access to unrivalled resources to invest in top-end hardware and leading edge solutions.
Working in functional teams creates the unique opportunity to see the software we have built in action and to gain rapid feedback from our very demanding users. Our teams are drawn from a range of disciplines based on individual project and business needs.
“Above all, I love the technical excellence and the collaborative atmosphere of G-Research. That’s why I chose to come back as a full-time engineer.”
After completing a two-year technical degree in France, I obtained my MEng Computing in 2016 from Imperial College. As part of my degree, I was required to do an industrial placement. I had interviews with several companies, but G-Research really stood out. Every single person that I spoke to came across in a personable and intelligent way. This internship gave me the rich experience I was looking for as I learned a lot from working full stack and being given meaningful projects.
“With an emphasis on quality, a refreshing lack of politics and a wealth of interesting and hard problems, G-Research is an excellent place to be writing code.”
After studying Computer Science at Cambridge I worked with video and telephony tech at a couple of startups. I’m now the tech lead for a team whose mission is to create cutting-edge tools, libraries and systems for our colleagues. I must say that after more than seven years at G-Research, the calibre of the people is still one of the best things about working here.
“It feels like we are one big team working towards one goal”
I completed a BSc in Natural Sciences and then went on to do a major in Computer Science at the University of Birmingham. After University I worked for a large bank but quickly realised I was looking for a more exciting challenge and after speaking to a friend who worked at G-Research, I knew it would be the place for me. My favourite part of working for G-Research is the great working relationship we have with the people we write software for, so it feels like we’re working with them not for them. I also really enjoy the structure of my working day and the proportion of my time spent writing and designing my own code.
“G-Research gives me ever changing, complex problems and a diverse environment to succeed in solving them.”
I completed a BEng in Computer Systems Engineering at the University of Warwick. Before joining G-Research, I was searching for a new programming language and problem paradigm and I knew I wanted to feel as though my work was making a difference. G-Research was the perfect place for me to do this because I have the ability to influence what I do here and I know I am listened to by my peers and those higher than me in the company. The inclusive culture of the company is clearly demonstrated by the fact that all members of staff, from every aspect of the business, are invited on the weekend away.
What We Look For
Ideal candidates will be able to quickly adapt to new technologies and are strong, practical coders who have a background in a Computer Science or related technical degree.
We are interested in meeting individuals who have a proven ability to develop high quality software with experience of C#, Java, C++ or other mainstream modern programming languages. Ideal candidates should be able grasp core programming concepts, complex data structures, and appreciate good software architecture. We strongly encourage candidates from a non-financial background to apply.