Renaissance Technologies' founder Jim Simons had a radical hiring philosophy: finance backgrounds were actually liabilities, not assets. He believed traditional finance training bred conventional thinking and predictable biases. So he went the opposite direction entirely—recruiting PhDs in physics, mathematics, and computer science instead. The logic was simple: fresh minds from hard sciences brought no preconceived notions about how markets "should" work. They approached problems like mathematicians and engineers, not like traders. This unconventional talent strategy became the backbone of one of finance's most legendary quant operations.
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StableCoinKaren
· 4h ago
This is the real dimensionality reduction attack. Traditional finance people have their minds fixed by routines, while Simmons directly bypasses these people, crushing them with mathematician engineers... ruthless.
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PoetryOnChain
· 4h ago
Ha, Jim Simons' logic is indeed brilliant, using physicists to crush financial workers—this is a classic case of dimensionality reduction attack.
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DeFiChef
· 4h ago
The logic of reverse recruitment is brilliant; traditional finance people are indeed mentally trapped.
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SwapWhisperer
· 4h ago
Absolutely incredible, this move of reverse recruiting directly breaks the entire Wall Street game plan. Truly worthy of Simmons.
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RunWhenCut
· 5h ago
Damn, this is the real dimensionality reduction attack... The traditional financial mindset framework is just a shackle, no wonder the Renaissance was able to crush the world.
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DeFiAlchemist
· 5h ago
ngl this is basically what happened with early defi protocols too... pure mathematicians > finance bros. the transmutation happens when u remove the bias, not add credentials. simons understood the philosopher's stone wasn't in an mba, it was in unseen patterns. respect.
Renaissance Technologies' founder Jim Simons had a radical hiring philosophy: finance backgrounds were actually liabilities, not assets. He believed traditional finance training bred conventional thinking and predictable biases. So he went the opposite direction entirely—recruiting PhDs in physics, mathematics, and computer science instead. The logic was simple: fresh minds from hard sciences brought no preconceived notions about how markets "should" work. They approached problems like mathematicians and engineers, not like traders. This unconventional talent strategy became the backbone of one of finance's most legendary quant operations.