Most recently, Sarah worked at Citadel’s Ashler Capital fund, where she analyzed large, unconventional datasets in order to generate investing ideas.

Prior to Ashler, Sarah worked as a quant/data scientist at two startups (both of which exited successfully), also focusing on using unconventional datasets to build systematic trading algorithms and predictive analytics models.

Sarah started her career as a quantitative analyst at ITG, where she developed dark pool matching and smart routing algorithms.

After graduating with degrees in astrophysics/business economics from UCLA, Sarah completed Princeton’s Master in Finance program.