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Stephen Sigrist leads the Data Science division. Stephen manages and trains a growing team of analysts and data scientists that execute the Company’s quantitative and statistical standard operating procedures (SOPs) to deliver independent, stable, and reliable data analytics via the SAR Platform℠. Sigrist oversees the goodness-of-fit testing of the applied statistical regression models that support the cloud-based application of the Company’s data analytics. Stephen manages all raw financial and economic data requirements in accordance with the organization’s high data quality standards. He works directly with software engineers to maintain and back-test the Company’s relational databases.

Prior to joining SAR in 2018, Sigrist worked as an econometrician for 15 years supporting nationally-recognized testifying experts in complex securities and antitrust class action lawsuits. Prior to his focus in complex class action litigation, Sigrist worked at the Investment Company Institute (ICI) in Washington, D.C., where he researched, analyzed, and published industry-wide statistics pertaining to mutual funds and exchange-traded funds (ETFs). Sigrist attained his B.A., with a concentration in math and economics, from Valparaiso University and a M.S. in financial economics from Ohio University. He completed PhD coursework in economics at George Mason University and completed the Data Science Certificate Program at the Georgetown University School of Continuing Studies. Sigrist is a SAS Certified Advanced Programmer and has expert level proficiency in econometric modeling using Stata, R, and Python coding languages.