WorldQuant
A Machine Learning Engineer at WorldQuant is a technical role supporting the firm’s quantitative research and forecasting platform within an academically driven, results-oriented culture. The position sits on the technologists team and requires close collaboration with researchers and portfolio managers. WorldQuant seeks candidates with advanced degrees and strong quantitative and technical backgrounds.
Headquarters
Old Greenwich, Connecticut, United States
Company Size
501-1000 employees
Founded
2007
WorldQuant is a global quantitative asset management firm founded in 2007 by Igor Tulchinsky, with more than 1,100 employees across 28 global offices. The firm builds systematic, data-driven investment strategies powered by proprietary technology, machine learning, and large-scale data. WorldQuant's founder has also established independent entities—WorldQuant University and WorldQuant Ventures—that apply data and talent to challenges beyond financial markets.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for WorldQuant.
WorldQuant didn’t post a salary, so this is our estimate from similar listings.
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