#quantitative-finance

#quantitative-finance

Competition for top quant talent has never been stiffer. With top hedge funds and high-frequency trading firms in expansion mode - and increasingly encroaching on the same turf - the mathematicians, physicists, data scientists, and engineers who power them are in high demand. The emergence of AI labs, which can outbid even the top-tier finance firms with war chests of tens of billions in capital, has only ratcheted up the competition.

When I was at the Wharton School, quantitative finance was in its infancy. Now, it is an essential discipline in this data-driven world,

After two years at SpaceX, I felt ready to take on new challenges and expand my skill set into a different high-performance environment.

Hao Zhang, a top quant researcher at Two Sigma, pioneered machine learning trading research, generating billions in profits before planning to launch Hippocampus Capital Management in 2026.

OpenAI's CEO, Sam Altman, humorously referred to the recruitment gatherings in San Francisco and New York City as a 'party' while seeking finance professionals to develop artificial general intelligence.