Our teams
- Quantitative research & machine learning
  We find patterns in noisy, real-world datasets to predict movement in global financial markets – blending mathematical precision with state-of-the-art machine learning. Learn more
- Engineering
  We design and maintain the robust infrastructure and high-performance platforms that transform bold research into real-world results. Learn more
- Technology Innovation Group
  We scout, test and integrate the latest technologies — ensuring our teams stay at the forefront of what’s possible. Learn more
- Open-source software
  We partner with and contribute to the open-source community, building world-class tools that benefit our research and the wider world. Learn more
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NeurIPS 2024: Research Paper Reviews

Staying at the forefront of innovation is essential for the success of our quantitative researchers and machine learning engineers. That’s why our team attended NeurIPS 2024, where they immersed themselves in the latest breakthroughs and ideas shaping machine learning.

Our researchers have compiled reviews of the papers they found most intriguing and innovative. Explore them now.

More paper reviews

Latest News

08 Aug 2025

G-Research July 2025 grant winners

29 Jul 2025

G-Research June 2025 grant winners

25 Jul 2025

Rebuilding MLflow’s experiment tracking backend in Go

Latest Events

Machine learning
Quantitative research

Spring into Quant Finance 2026

12 Apr 2026 - 17 Apr 2026 Palermo, Sicily, Italy

More info

Mathematics
Quantitative research

University of Cambridge mathematics and quant fair 2025

28 Oct 2025 Bene't Street, Cambridge

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Platform engineering
Software engineering

University of Cambridge engineering & tech fair 2025

21 Oct 2025 - 22 Oct 2025 Bene't Street, Cambridge

More info

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