Two Sigma

  • 1,001-5,000 employees
  • Financial Services

Two Sigma

Two Sigma is a financial sciences company that combines advanced technology and data science with rigorous human inquiry to solve the toughest challenges in finance. Two Sigma aims to generate alpha for its clients and deliver differentiated solutions in investment management, securities, private equity, real estate, venture capital, portfolio analytics, and insurance. Founded in 2001 by David Siegel and John Overdeck, Two Sigma employs over 2,000 curious minds, and is headquartered in New York with offices around the globe. For more information visit www.twosigma.com.

Two Sigma is proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

The information presented in this profile is offered for recruiting purposes only and should not be used for any other purpose. As such, Two Sigma’s use of LinkedIn is not an offer to, or solicitation of, any potential clients or investors for the provision by Two Sigma of investment management, advisory or any other related services. No information posted by Two Sigma should be construed as investment advice, or as an offer to sell, or a solicitation of an offer to buy, any security or other instrument. All trademarks, logos, information and photos are ®/TM/© Two Sigma Investments, LP or its affiliates. All rights reserved.

Expertise

investment management, technology, software development, quantitative modeling, and data science

Key Takeaways: 5 Favorite Insights from 2023
  • 1 year ago

A look back at five of the Two Sigma Insights posts that sparked our—and our readers'—curiosity the most in 2023.

Systematic and Discretionary Macro: Better Together
  • 2 years ago

Over the past ~15 years, a blend of systematic and discretionary macro funds delivered a higher Sharpe ratio than either approach alone.