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SQA and CFANY’s Fintech Leadership Group Present
Data Science in Finance: The Final Frontier?
Host: Fintech Leadership Group & SQA
In recent years the topics of Data Science, Artificial Intelligence, Machine Learning, and Big Data have become increasingly popular. This growth has been fueled by the collection and availability of new data; increasing processing power and storage, and the open source movement continue to make tools more widely available. As a result, we have already witnessed profound changes to how we work, rest, and play… And this trend will only continue. How has the world of finance, and investment managers in particular, been impacted by this trend? Join us to explore what Data Science means for finance professionals.
You are welcome to upload an app Guidebook to your phone. Information about this joint SQA-CFANY event has been published:
Who would be interested in this event:
Analysts, Portfolio Managers and other practitioners interested in how machine learning, artificial intelligence, and other data science techniques can be used in financial and other sectors.
Learning outcomes:
- Gain an understanding of various big data techniques;
- Learn new algorithms for investment analysis;
- Review how data science is applied in various industries.
Date
Thursday, Jan. 18, 2018 8:30 am – 6:00 pm
Location
CFA Society New York Conference Center 1540 Broadway Suite 1010
Fees
Member: $525 Nonmember: $695
AGENDA
8:30 – 9:00 AM: Registration, Breakfast
9:00 – 10:00 AM “When Should we Trust Autonomous Learning Systems with Decisions?”
Vasant Dhar, SCT Capital Management, New York University
10:00 – 11:00 AM
“The Contextual Bandits Problem: Techniques for Learning to Make High-Reward Decisions”
Robert Schapire, Microsoft
11:00 – 11:15 AM: Coffee Break
11:15 – 12:15 PM
“Text as Data”
Bryan Kelly, University of Chicago
12:15 – 1:15 PM: Lunch
1:15 – 2:15 PM
“Search Data and Finance”
Paul Gao, University of Notre Dame
2:15 – 3:15 PM
“Media and Its Interaction with Financial Markets”
Ronnie Sadka, Boston College
3:15 – 3:30 PM: Coffee Break
3:30 – 4:30 PM
“What Machine Learning Can and Cannot Do”
Claudia Perlich, Dstillery
4:30 – 5:30 PM: Cocktails & Networking Reception
DISCLAIMER OF ENDORSEMENT References herein to any specific sponsor or service do not necessarily constitute or imply the endorsement, recommendation or favoring by CFA Society New York. CFA Society New York strives to be a community for diverse opinions and differing perspectives, and the views and opinions expressed by speakers, presenters and/or organizers at events do not necessarily state or reflect those of CFA Society New York. CFA Society New York expects all attendees to comply with CFA Society New York’s Code of Conduct while attending CFA Society New York events or meetings. CFA Society New York expressly reserves the right, in its sole discretion, to grant or deny access to any individual, or to expel any individual from any CFA Society New York event or meeting.