G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We hire 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.

We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment. 

Data Center

Finance

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G-Research

G-Research's headquarters in London, United Kingdom

This department focuses on the development and maintenance of scalable and reliable platform solutions and infrastructure.

Platform Engineering

The Software Development team at G-Research is dedicated to building robust, high-performance applications that leverage advanced technologies and methodologies for quantitative finance. Comprising skilled developers and engineers, the team collaborates to design and implement microservices, big data platforms, and innovative solutions that optimize data processing and improve predictive models. With a focus on continuous improvement and fostering talent, the team plays a crucial role in driving the company's technological edge in the financial markets.

Software Development

This department focuses on analyzing data to develop quantitative models and strategies that inform decision-making processes.

Quantitative Research

This department focuses on developing and implementing machine learning models and algorithms to drive data-driven decision making.

Machine Learning Engineering

This department focuses on analyzing financial data and developing quantitative models to support decision-making.

Quantitative Analysis

This department focuses on recruiting, sourcing, and managing talent for the organization.

People (16)

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Other teams

Software Development

Quantitative Research

Machine Learning Engineering

Quantitative Analysis

Talent Acquisition