How G-Research built a 1,100-person quantitative research powerhouse using machine learning and big data in 2026
G-Research is a leading quantitative research and technology firm headquartered in London. Founded in 2001, they apply machine learning, big data, and cutting-edge technology to predict movements in financial markets, employing 1,100 of the world's brightest STEM minds.
G-Research uses machine learning and big data to predict financial markets
G-Research is a leading quantitative research and technology firm headquartered in the heart of London. Since its founding in 2001, the firm has built world-class infrastructure that combines advanced mathematics, machine learning, and massive data processing to forecast movements across global financial markets.
The firm is known for its rigorous, research-first culture and its commitment to attracting top talent from mathematics, physics, statistics, computer science, and engineering. G-Research invests heavily in developing its people through graduate programs, internships, and a collaborative environment designed to reward world-beating ideas.
G-Research's estimated annual revenue sits in the $50M–$100M range. As a private firm, it does not publicly disclose detailed financials. Its research spans algorithmic trading, predictive modeling, deep learning, data engineering, high-performance computing, and open-source contributions — with a strong emphasis on methodological rigor and quantitative precision.
The firm's technology platform includes real-time data systems, cloud computing infrastructure, and bespoke AI solutions built to operate at the cutting edge of computational finance. G-Research also actively engages the broader research community through grants, academic partnerships, and open-source software contributions.
G-Research's core research and technology areas
G-Research operates at the intersection of quantitative finance and advanced technology. Their research covers a broad range of domains that feed into their core mission of predicting financial markets:
Tools and technologies G-Research uses
Based on public signals, job postings, and observed integrations, G-Research's technology stack spans marketing, infrastructure, recruiting, and data analytics:
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Key decision-makers at G-Research
Verified contact data for senior decision-makers across Research, Engineering, Technology, and Operations at G-Research. Unlock full contact details with Happierleads.
Download the full database of 175M B2B contacts
Every contact for G-Research — and every other company on Earth — in one CSV. Free updates for life.
download Download 175M contacts| Name | Title | Country |
|---|
| Sarah Chen | VP Sales | s.chen@stripe.com | 🇺🇸 US |
| Michael Davidson | Head of Growth | m.d@notion.so | 🇺🇸 US |
| Priya Patel | CMO | priya@figma.com | 🇺🇸 US |
| Lars Eriksen | VP Marketing | lars@spotify.com | 🇸🇪 SE |
| Akira Tanaka | CRO | akira@mercari.com | 🇯🇵 JP |
| Emma Wilson | Head of Sales | emma@monzo.com | 🇬🇧 GB |
| Carlos Vargas | VP Revenue | c.vargas@rappi.com | 🇲🇽 MX |
| Sophie Müller | Director Sales | sophie@n26.com | 🇩🇪 DE |
| James O'Brien | Chief of Staff | james@intercom.com | 🇮🇪 IE |
| Aisha Khan | VP Sales | aisha@razorpay.com | 🇮🇳 IN |
| Sarah Chen | VP Sales | s.chen@stripe.com | 🇺🇸 US |
| Michael Davidson | Head of Growth | m.d@notion.so | 🇺🇸 US |
| Priya Patel | CMO | priya@figma.com | 🇺🇸 US |
| Lars Eriksen | VP Marketing | lars@spotify.com | 🇸🇪 SE |
| Akira Tanaka | CRO | akira@mercari.com | 🇯🇵 JP |
| Emma Wilson | Head of Sales | emma@monzo.com | 🇬🇧 GB |
| Carlos Vargas | VP Revenue | c.vargas@rappi.com | 🇲🇽 MX |
| Sophie Müller | Director Sales | sophie@n26.com | 🇩🇪 DE |
| James O'Brien | Chief of Staff | james@intercom.com | 🇮🇪 IE |
| Aisha Khan | VP Sales | aisha@razorpay.com | 🇮🇳 IN |
Frequently asked questions about G-Research
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