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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:

 http://guidebook.com/g/sqacfany2018

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.

CFA Society New York is not a Registered Investment Advisor, Broker/Dealer, Financial Analyst, Financial Bank, Securities Broker, or Financial Planner. While CFA Society New York seeks to present accurate and reliable information, CFA Society New York does not endorse, approve, or certify such information, nor does it warrant or guarantee the accuracy, completeness, efficacy, timeliness, or fitness of such information for any particular purpose. Information presented may or may not be current as of the date of the presentation, and CFA Society New York has no duty to update and maintain the information, reports, or statements made during events. The information presented is provided for information purposes only, and is not intended to be and does not constitute financial advice, investment advice, trading advice, or any other advice, is general in nature, and is not specific to you. None of the information presented is intended as an offer or solicitation of an offer to buy or sell, or as a recommendation, endorsement, or sponsorship of any security, company, or fund. CFANY is not responsible for any investment decision made by you. You should not make any financial, investment, trading or other decision based upon any of the information presented at CFANY without undertaking your own independent due diligence and consulting with a qualified and registered securities professional. You understand that your use of any of the information presented at CFANY is at your own risk. There is a substantial amount of risk in trading securities, and the possibility exists that you can lose all, most or a portion of your capital. CFANY does not, cannot, and will not assess or guarantee the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The securities mentioned in any CFANY presentation may not be suitable for investors depending on their specific investment objectives and financial condition.