Bachelor's or advanced degree in economics, finance, statistics, mathematics, or computer science. Programming experience in R, C++, and/or Python. Strong working knowledge of regression, time series analysis, and other statistical techniques. Experience building, organizing, and analyzing large data sets. Ability to comprehend and synthesize academic literature in finance, economics, and statistics. Strong financial market interest. Ability to simplify and effectively communicate complex concepts.