Mathematical Finance & Financial Data Science Seminar

---

Non-Traditional Datasets in Quantitative Investing: Challenges and Solutions

Speaker: Gene Ekster, Alternative Data Group

Location: Warren Weaver Hall 1302

Date: Tuesday, March 6, 2018, 5:30 p.m.

Synopsis:

Non-traditional datasets also known as Alternative Data, used by institutional investors to enhance the investment process, have become the key topic of Wall Street.  However, formidable commonplace technical challenges hold back many funds from using these datasets.  These include identifier mapping, stable panel creation, dataset evaluation and sensitive information extraction.  This talk will dig into the details of these challenges and present several solutions to the audience.  We will discuss the tools, techniques and skill sets needed to solve the current and future challenges of the alternative data ecosystem.  Finally, we will discuss some of the compliance-related technologies needed to minimize regulatory risk and enable mass adoption.

Bio:

Gene Ekster, CFA is the co-founder and CEO of Alternative Data Group.  Previously he has worked in the alternative data industry on the buy-side as head of R&D at Point72 Asset Management as well as the independent research side as a Director of Data Product, 1010Data and Senior Analyst at Majestic Research.  He holds a degree in Artificial Intelligence and Cognitive Science from UC Berkeley and an MBA from Cornell University.

I am looking forward to seeing you!

Notes:

Event Schedule:

5:10PM:  Registration

5:30PM: Presentation

6:30PM: Netwlrking

7:00PM: The END