Investing
Quant Powerhouse Two Sigma Moves to Hire Flesh-and-Blood Traders
- Firms to add human judgment to computer-driven algorithms
- No immediate plans for discretionary hedge-fund product
David Siegel, co-founder and co-chairman of Two Sigma.
Photographer: Jeenah Moon/BloombergThis article is for subscribers only.
Two Sigma Investments, the quant hedge-fund giant known for using computer-driven algorithms to make money, is for the first time exploring ways to add traders who rely on their human judgment to make money as the $60 billion investing firm looks to diversify its strategies.
New York-based Two Sigma, which uses machine learning and big data to make systematic trades, has hired some staff and is interviewing traders and researchers, according to people familiar with the matter. The move into discretionary investing will target talent for equities, macro and fixed-income investments, one of the people said, asking not to be identified because the details are private.