10 thinkers, books, and ideas connected to this field.
American quantitative hedge fund founded by David Shaw in 1988 — which uses computational methods to find market inefficiencies — and which was Jeff Bezos's employer before he left to found Amazon.
American computer scientist who founded D.E. Shaw — one of the first and most successful quantitative hedge funds — and who stepped back from finance to focus on computational biology research, having hired Jeff Bezos who left to found Amazon.
American mathematician and Fields Medal-adjacent number theorist who joined Renaissance Technologies' early trading operation — co-founding Axcom before it became the Medallion Fund — and developed early systematic trading models.
American hedge fund manager who founded Citadel at age 22 — building it into one of the world's largest and most successful hedge funds — and who started trading from his Harvard dorm room with a satellite dish to receive market data.
American financial journalist — Wall Street Journal reporter — author of The Quants (on quantitative traders before the 2008 crash) and Dark Pools (on high-frequency trading) — who covers the intersection of technology and finance.
Gregory Zuckerman's 2019 biography of Jim Simons and Renaissance Technologies — the most complete public account of how a mathematician built the most successful trading firm in history through pattern recognition in financial data.
Scott Patterson's 2010 narrative of the quantitative traders whose mathematical models dominated Wall Street before failing catastrophically in 2008 — covering Jim Simons, Ken Griffin, Peter Muller, Cliff Asness, and Boaz Weinstein.
Hungarian-American entrepreneur who founded Interactive Brokers — one of the world's largest electronic brokerages — by bringing computer-driven options pricing to the trading floor when everyone else was using mental math, then building the electronic trading infrastructure that democratized global market access.
American quantitative trading and hedge fund firm headquartered in Minneapolis — which uses systematic trading strategies across equities, options, and other instruments — referenced in the Founders podcast ecosystem.
New York-based quantitative trading firm and market maker — one of the most profitable financial institutions in the world, known for its culture of rigorous probabilistic reasoning and talent for recruiting mathematically exceptional people.