Skip to content

Ben Lieblich

Chief Data Scientist

Ben joined EDS early on as Vice President of Product and Quantitative Engineering. He started his career as a quantitative analyst at Credit Suisse where he first met Sandeep, our CEO. He went on to lead the analytics group at Shapeways 3D Printing, a prominent tech startup, after which he joined Raveneur Investment Fund as their quantitative analyst. He then went on to Cross River, a venture-backed technology focused bank, to develop their retail banking product and lead the bank’s quantitative credit modeling effort. Ben graduated first in his class from Rutgers with concentrations in Math and Physics. He also has a Financial Engineering master’s degree from UC Berkeley and a Product Management MBA from Cornell University.

Insights
Webinar recap - Decoding Risk and Return Using Portfolio Analytics
Webinar recap: Decoding risk and return using portfolio analytics
Theresa Elamparo 2 minutes Practical Application for Fundamental Hedge Funds In a recent webinar co-hosted by MSCI and Equity Data Science (EDS), experts from the investment management industry, including EDS
Read More
Introduction to Equity Risk Models: Guest Speaker Ben Lieblich
In a recent Fundamental Edge webinar, our Chief Data Scientist Ben Lieblich shared a comprehensive overview on equity risk models.
Read More
Navigating Risk Management Trends in Active Investing
Navigating Risk Management Trends in Active Investing
Ben Lieblich 2 minutes In today’s fast-paced world of fundamental management, staying ahead requires more than just sharp investment acumen—it demands an acute awareness of risk factors. Incorporating factor models
Read More
Banner for webinar replay How Snowflake Enables Quantitative Research and Investment Analytics hosted by Equity Data Science.
Webinar replay: How Snowflake Enables Quantitative Research and Investment Analytics
Ben Lieblich 1 minute EDS Chief Data Scientist Ben Lieblich recently sat on a panel, along with Snowflake’s Bryan Lenker and FactSet’s Kellyn Cochell, discussing data trends among investment teams
Read More
Request A Demo