Sarah Nagy is currently the lead Quantitative Analyst at Predata, a predictive intelligence firm. Sarah develops modeling and trading strategies utilizing Predata’s digital volatility signals. Prior to joining Predata, Sarah developed dark pool, smart routing and algorithmic trading strategies at Investment Technology Group. Sarah has a Master in Finance degree from Princeton University, and a Bachelor of Arts and Science degree from UCLA in Astrophysics and Business Economics. Sarah participates in Princeton’s MFin alumni outreach program by mentoring current students and advising prospective students, particularly those interested in fintech. In her spare time, Sarah enjoys music composition, improvisational comedy and martial arts.