Conference / Seminar, Fintech Thought Leadership Group, Virtual Events & Programming

7th Annual Data Science in Finance Conference

January 11, 2024 | 8:30 AM - 6:00 PM

Share Event

Loading Events

Wait! A Note on Registration:

We’ve launched Cvent—our new events platform!

Registration for any event with a start date after Sept. 28 now requires a CFA Institute account.

I don’t have a CFA Institute account

  • No problem! You’ll have the chance to create one prior to registration.

I already have a CFA Institute account

  • Great! Be sure to use your existing credentials at registration.
Cvent Transition Guide
Global Passport Icon
Global Passport Program Eligible

Overview

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.

Presented in conjunction with The Society of Quantitative Analysts (SQA) and the Quantitative Investing Group

Agenda

8:30 AM | REGISTRATION 


9:00 AM | INTRODUCTION


9:15 AM | PANEL DISCUSSION


10:00 AM |PANEL DISCUSSION


11:00 AM | COFFEE BREAK


11:15 AM | PANEL DISCUSSION


1:00 PM | LUNCH


2:00 PM | PANEL DISCUSSION


2:45 PM | PANEL DISCUSSION


3:30 PM | COFFEE BREAK


3:45 PM | PANEL DISCUSSION


4:45 PM | NETWORKING RECEPTION

Additional Details

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.

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.