G-Research

Hired Top Employer in 2022

G-Research hires the brightest minds in the world to tackle some of the biggest questions in finance.

We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.

Locations

Our Headquarters are in Central London, with offices close to the vibrant West End, while Dallas, Texas plays home to our growing Engineering and Infrastructure Hub.

Learn more about our latest London office
Learn more about Dallas

Our Functions

Software Engineering:

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.

View Software Engineering opportunities

Infrastructure Engineering:

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.

View Infrastructure Engineering opportunities

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.

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Cyber Security:

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.

View Cyber Security opportunities

Our culture

Join us and you'll explore complex challenges with some of the world's smartest people in an open, collaborative and informal environment.

Our people are empowered to develop their skills and grow their career in an intellectually stimulating environment. But there is also a lively social side to G-Research too, with many team events and company-wide events throughout the year.

What We Look For

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.