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Daniel Siliski
Quantitative Analyst
Previously, Dan worked as an econometrics research assistant at Massachusetts Institute of Technology, where he worked on equity portfolio optimization problems, including time-series vector multicollinearity, the mathematics underlying macro-finance factor models, and the applications of Random Matrix Theory to financial markets. Before that, Daniel was a financial analyst in the legal department of Boston Scientific Corporation, with responsibilities including financial modeling and risk management for a $250M budget. Daniel earned his Bachelors of Arts from Emory University in Atlanta, GA, with a double degree in Mathematics and Economics, and an economic concentration in Finance. Daniel earned membership to ODE, the International Economics Honors Society, and the National Society of Collegiate Scholars. |
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