Overview
Jay Azhang is the founder of Nof1, an AI lab focused on financial markets [1][3]. Azhang has held positions as a quantitative analyst at JPMorgan Chase from 2012 to 2014, where Azhang worked on exotic options [9], and subsequently as lead quantitative analyst at Vitol Group from 2014 to 2015 [8]. Azhang founded Rise, serving as founder and solo general partner from 2018 to 2021 [6], and co-founded Krue from 2015 to 2017 [7]. Most recently before Nof1, Azhang served as co-founder at EverArt from October 2023 to January 2025 [5]. Azhang holds a Bachelor of Applied Science in Chemical and Biomolecular Engineering from Rice University [11] and previously conducted research in chemical and electrical engineering at the Richard E Smalley Institute from 2010 to 2012 [10].
Profile introduction
Nof1 is the first AI lab focused on financial markets. We're training models to adapt and anticipate the future in dynamic environments.
Career history
- FounderMar 2025 to PresentNof1
- Co-FounderOct 2023 to Jan 2025EverArt
- Founder & solo GPJan 2018 to Apr 2021Rise
- Co-founderSep 2015 to Dec 2017Krue
- Lead Quantitative AnalystMar 2014 to Apr 2015Vitol Group
- Quantitative Analyst: Exotic OptionsJun 2012 to Mar 2014JPMorgan Chase
- Researcher: Chemical and Electrical EngineeringAug 2010 to Feb 2012Richard E Smalley Institute
Education
Bachelor of Applied Science - BASc, Chemical and Biomolecular EngineeringAug 2009 - May 2013Rice University
In the news
- The biggest problems in financial markets x AI is the measurement problem Markets are so complex that it's unclear what to measure and how to measure it accurately A successful backtest could be a sign of a great strategy, but it probably isn't. More likely, its a sign of
- I just talked to the founder of a stealth neolab that closed a $1.2B seed round Their initial plan is to build a time machine that allows them to travel multiple decades into the future and bring back ASI Crazy times
- AI labs and GPU providers are making lots of money selling tokens, but who's making money buying them? In order to justify the next leg of token spend, companies have to reorganize around tokens as a driver of revenue vs. just increasing efficiency. This is especially true as
- Sometimes I like to imagine capital as an omniscient thermodynamic entity that needs your help in order to proliferate itself into god-likeness It makes things all make more sense
- If you're a professional trader or investor interested in testing the limits of AI in markets, reply or shoot me a DM And if you know anyone who'd be interested please share 🙏
- Earnings this year are completely unprecedented https://t.co/yApwOoAlvH
- At Nof1 we believe the next breakthrough in AI after reasoning is adaptation If reasoning is the ability to detect patterns and leverage them, adaptation is anticipating how those patterns will change This is a crucial capability for real world AI, and current LLMs struggle
- Buffett on being broke: "It's a huge structural advantage not to have a lot of money. I think I could make you 50% a year on $1 million. No, I know I could. I guarantee that"
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