MC LMS - Leveraging NLP in Asset Management

Leveraging NLP in Asset Management

Session Summary: Managers look to provide a consistent edge above and beyond the broad markets by attempting to uncover differentiated insights around potential investments. They work to gain a deeper understanding of their investments, giving them more confidence in the companies or the securities they are interested in. To do this, portfolio managers are increasingly turning to new data sources and more sophisticated techniques to provide the edge they need to survive. This session will explore Natural Language Processing (NLP), a branch of artificial intelligence, that uses machine learning algorithms to analyze and understand human language, enabling asset managers to unlock insights and opportunities by analyzing large volumes of unstructured data.

Presenter:

Che Guan

Vice President, Data Scientist

AllianceBernstein

Credits: This course is worth 1.0 GAPPT CEC (Continuing Education Credit). It also qualifies for 0.1 IACET CEU (Continuing Education Unit).

Instructions: Participants must watch the session video presentation and pass the session assessment to earn GAPPT CECs and IACET CEUs.

Prerequisites: None.

Equipment Requirement: Computer, tablet or smartphone and internet access. To avoid issues, please use Google Chrome as your browser.

Cost: Member Registration: $60.00 / Non-Member Registration: $115.00

Click HERE to register for this course.

Course Details

For Distributors

Distributors may purchase multiple copies of packages to distribute to learners, and follow their progress. Bulk discounts are below.

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Instructors

Che Guan

Che Guan is currently serving as the Vice President of Data Science at AllianceBernstein, where he is actively involved in conducting research and development on Natural Language Processing. Before joining AllianceBernstein, he held various positions such as Principal Data Scientist at Raymond James, Quantitative Strategist at a startup fund, and Data Scientist at JP Morgan. Throughout his career, Che has gained extensive experience in applying machine learning, statistics, and optimization techniques to a diverse range of projects in the financial industry. Che holds a Ph.D. in Electrical Engineering and an M.S. in Statistics from the University of Connecticut, with a focus on forecasting applications.

As a GAPPT presenter, Che has received information regarding educational instructional methods and adult learning processes.