Bezos' Project Prometheus recruits quants and traders from Citadel and Morgan Stanley

Jeff Bezos' AI lab Project Prometheus is pulling talent directly from hedge funds and trading firms like Citadel. Over 150 finance professionals joined Anthropic or OpenAI in the past year alone.

Categorized in: AI News Finance
Published on: Apr 10, 2026
Bezos' Project Prometheus recruits quants and traders from Citadel and Morgan Stanley

Bezos' AI Lab Recruits Heavily From Hedge Funds and Trading Firms

Project Prometheus, the AI lab launched by Amazon founder Jeff Bezos last year, is building its team by hiring directly from financial services firms and recruiting people who left finance for AI companies.

This week, Andrei Margeloiu joined Prometheus in London after spending 18 months doing FX quant research at hedge fund Citadel. He holds a PhD from Cambridge focused on using neural networks for data analysis.

The hiring pattern extends beyond direct poaching. In February, Prometheus hired Jamie Watson, who spent seven years at Niantic but previously worked as a structured credit trader at Morgan Stanley. Late last year, it hired Shiyuan Guo, who left Citadel Securities after two and a half years as a FICC/equities quant to join Anthropic, before moving to Prometheus.

Prometheus maintains tight secrecy around its operations. The Financial Times reported the lab has hundreds of staff, yet fewer than 80 people list the project on LinkedIn.

Finance Hiring Extends Across AI Industry

Other major AI labs are following the same pattern. xAI hired Daniel Pfeifer from electronic trading firm Optiver last month, and recruited Depei Li from Five Rings Capital in January. LinkedIn data shows over 150 people from hedge funds and trading firms joined Anthropic or OpenAI in the past year alone.

The shift reflects how AI labs view financial services talent. Quant researchers and traders bring experience with neural networks, data analysis, and pattern recognition in high-stakes environments where precision matters.

For professionals in finance considering a move to AI, understanding how your current skillset translates is essential. AI for Finance resources can help map that transition, while an AI Learning Path for Data Scientists covers the technical foundations quant professionals already use.


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