Data Science in Asset Management

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Published
Recorded October 19, 2021

Opening remarks from William Kelly, President & CEO of CAIA

Session I
Practical Applications of Data Science in Asset Management – Demonstration of Tools and Use Cases

Learn how data science and machine learning are used in practice for asset management and forecasting from three practitioners in the field. We took an interactive deep dive into the inner workings of different bespoke financial applications with their creators.

Lucas Bunting, CFA, Quantitative Equity Analyst
Cordell Tanny, CFA, FRM, FDP, Vice-President, Systemized Solutions, Dynamic Funds
Moderator: Don Hejna, CFA, CAIA, FDP, Managing Partner, Founder, Stantum, LLC

Session II - Begins at 1:02:22
Leadership Panel – Opportunities and Challenges of Data Science Deployment in Asset Management

Learn best practices employed by industry leaders at the convergence of finance and cutting-edge technology. In this interactive conversation, you will learn the major trends and priorities in the deployment of data science in asset management front office, middle and back office.

Benjamin Blaisdell, Managing Director and Solutions Oversight & Data Analytics, Bank of America
Jane Buchan, PhD, CAIA, CEO, Martlet Asset Management
George Martin, Co-founder, Semnos Partners, LLC
Miquel Noguer, Founder, Artificial Intelligence Finance Institute and NYU Visiting Scholar
Moderator: Mehrzad Mahdavi, PhD, Executive Director, FDP Institute


Co-hosted by: CAASA
CFA Society Atlanta
CFA Society Minnesota
CFA Society North Carolina
CFA Society Philadelphia
CFA Society San Francisco
CFA Society Washington, DC
FDP Institute
FIAM

Event Parnters:
FDP Institute
Kaplan Schweser
Category
Management
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