G-Research pairs the brightest mathematical minds with some of the most advanced technology in the world, including algorithms, machine learning, and big data, to predict movements in financial markets, discovering inefficiencies that allow us to work on systematic trading strategies.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world's most complex financial problems.
We are developing the next generation of infrastructure that can effortlessly scale and flex. This capability allows us to adapt to the demanding needs of the business to process and analyse large and varied data sets at speed.
Quantitative Research, Machine Learning and Data Science:
We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.
Keeping our ideas safe and secure is crucial to our success. That's why we use pioneering techniques that predict and protect us from attacks. Together, we're building the next generation of security approaches and thinking.
Join us and you'll explore complex challenges with some of the world's smartest people in an open and informal environment. We are all working towards achieving our long-term goal: human ingenuity limited only by the speed of thought. There is also a lively social side to G-Research with many team events and company-wide events, including our legendary European weekends away.
In Software Engineering:
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, ideally
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.
In Infrastructure Engineering:
If you have experience of delivering high quality projects within a technical environment and you’re passionate about technology, you would be a great fit.
In Quantitative Research and Machine Learning
You’ll have a record of academic achievement in mathematics, physics, machine learning, computer science or engineering. There’s no need for experience in finance.
Based in the heart of Central London, we are served by 5 stations and 6 tube lines, with the closest station Goodge Street within seconds of the office. Being situated in the vibrant West End means you are in walking distance of many top London attractions and shopping districts.