Mathematical Finance & Financial Data Science Seminar

---

Advances in Alternative Data Technology

Speaker: Gene Ekster, AltDG CEO, NYU adjunct professor.

Location: Online Zoom access provided to registrants

Date: Tuesday, November 9, 2021, 5:30 p.m.

Synopsis:

 Alternative data in finance is an umbrella term for diverse non-traditional datasets used by quantitative and fundamental institutional investors to enhance portfolio returns. As a new field, the use of alternative data is hampered by technical challenges including entity mapping, panel stabilization, and debiasing. In this talk, we will review these technical challenges and provide an overview of the best-in-class solutions for implementing alternative data into an investment process. 

Bio:

Gene Ekster is an adjunct professor at NYU, where he teaches a course on alternative data in finance. He is also the CEO of AltDG, an alternative data software company. Previously, he managed the alternative data team at Point72 Asset Management and worked in alternative-data roles at Balyasny Asset Management, Lone Pine, 1010 Data, and Majestic Research. Gene is a board member of IDSO (a compliance organization), Eagle Alpha, Ottoquant, and Super Signal Capital. He holds a degree in Artificial Intelligence from U.C. Berkeley, an MBA from Cornell University, and is a CFA charter holder.

Notes:

This event is free, but requires registration.  Please click here to register