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Revant Nayar
Principal and CIO Princeton AI and FMI Tech
Revant Nayar is currently Principal and CIO at FMI Tech, among the first quantum AI based quantitative hedge funds. He started his career as a theoretical physics researcher at IAS and Princeton University with a specialty in quantum field theory and string theory, where he started FMI Tech as a think-tank applying cutting edge innovations in quantum physics to quantitative finance. In 2021, he became among the first fund managers applying quantum alternatives to AI to asset management starting with the Indian market and expanding to the US market in mid 2023. He has been featured as speaker and panellist at the leading finance and AI conferences including Bloomberg, Strata, ELS, YPO, and EMEX. He also runs among the largest econophysics research collaborations in the world (FTERC), bringing researchers from top universities around the world to generate alpha research. Today he is widely regarded as a trailblazer in quantum and physics-inspired approaches to asset and risk management.
Day 1: 14 October
11:45 AM OFF THE RECORD PANEL: Strategizing with AI - Evolution or Revolution?
- Is AI’s impact a natural extension of existing quantitative methods, or a fundamental disruption? Explore AI’s capabilities through discussions on:
- What recent advancements in AI and machine learning have significantly improved alpha signal extraction, and how are these integrated into systematic strategies?
- How are reinforcement learning, predictive modeling, and execution algorithms driving measurable improvements in portfolio execution efficiency?
- What distinguishes incremental model enhancements from disruptive AI techniques in the context of strategy evolution and market adaptability?
- How are adaptive AI frameworks—such as agent-based models and meta-learning systems—shaping the future of autonomous trading in complex, dynamic environments?
12:50 PM OFF THE RECORD FIRESIDE CHAT: Leveraging AI and Machine Learning for Portfolio construction
Machine learning has become increasingly central to both forecasting and portfolio construction. But how do you separate hype from real, actionable value?
- What ML models are most effective for return and risk forecasting?
- How are firms integrating AI and ML signals into quant investment strategies?
- When does ML add value over traditional quant techniques?
Check out the incredible speaker line-up to see who will be joining Revant.
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