SB
Sankalp Banerjee
Private Equity Associate at Two Sigma
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Work Experience
Private Equity Associate
Jun 2018 - Present · 6 years and 6 months
Jun 2015 - Jun 2018 · 3 years
Investment Banking Analyst
Jul 2016 - Jun 2018 · 1 years and 11 months
Investment Banking Summer Analyst
Jun 2015 - Aug 2015 · 2 months
Company Details
1001-5000 Employees
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, impact investing, 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.
Year Founded
2001
Social Media
LinkedinTwitter
Industry
Financial Services
HQ Location
100 Avenue of the Americas 16th Floor New York, NY 10013, US
Keywords
investment managementtechnologysoftware developmentquantitative modelingand data science
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