Dave Abrams

Director of Quantitative Strategies

As Director of Quantitative Strategies, Dave leads the firm’s quantitative investing research and development effort.

Dave’s expertise covers sector rotation, adaptive momentum, machine learning used in multi-tiered risk management, tail risk protection and robust asset allocation algorithms. Due in large part to his pioneering work on rules-based, quantitative strategies executed via ETFs, WST today offers an integrated platform of risk-managed strategies through WST Capital Management.

Prior to joining WST in 2014, Dave spent 20 years applying advanced algorithms to complex distributed systems; he holds multiple patents for rate adaptive video and visual collaboration. Dave first became interested in model development for quantitative investing nearly a decade ago, and from 2009 to 2014 he was a part-time consultant for CSS Analytics, a leading blog and research outfit in quantitative investing space. Dave leverages his extensive, experience in the construction and maintenance of quantitative models upon which WSTCM strategies are built.

A native of Cedar Rapids, Iowa, Dave graduated with highest distinction from Northwestern University’s McCormick School of Engineering, where he studied computer science; he holds a masters in Computer Science from the University of Toronto. Dave, his wife and two children live in Chesapeake; in his free time, he enjoys golfing and being poolside at his kids’ swim meets.

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