
The Peterman Pod Ex-Citadel Quant and AI Researcher On Breaking In, Tech vs Finance Careers
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Jan 26, 2026 Nimit Sohani, a Stanford PhD and AI researcher now at Cartesia who previously worked as a quant at Citadel. He contrasts AI research and quant careers, discusses PhD value and research taste. He explains Cartesia's voice AI work, low-latency TTS and long-context models. He compares startups vs big labs and debates state space models versus transformers.
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Tech And Finance Share Skills, Differ In Pace
- Core technical skills transfer between finance and AI; culture and location differ.
- AI roles currently demand more hours due to intense competition and rapid progress.
Comp Structure Is Opaque And Performance-Tied
- Quant compensation is opaque and performance-driven, especially for alpha producers.
- Non-competes and garden leave protect firms and can pay you to stay out of the market temporarily.
Rule-Breaking Triggers Severe Consequences
- Nimit recounts internal breaches like forbidden trading via private groups and legal consequences.
- Firms have elite legal teams and pursue violations aggressively.

