Goldman Sachs Asset Management
The VP Applied AI - Deep Learning role at Goldman Sachs involves conducting original research at the intersection of deep learning, time-series modeling, and quantitative finance. The position requires formulating research questions, developing novel predictive methods, and evaluating their relevance using large-scale financial datasets. The role focuses on applying advanced machine learning techniques to solve complex problems in global 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 Goldman Sachs Asset Management.
VP Applied AI - Deep Learning
Goldman Sachs
VP Applied AI - Deep Learning
Goldman Sachs
VP Applied AI - Deep Learning
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