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Events / Thalesians Series

About The Series

The IAQF's Thalesians Seminar Series is a joint effort on the part of the IAQF (www.iaqf.org) and the Thalesians (www.thalesians.com).  The goal of the series is to provide a forum for the exchange of new ideas and results related to the field of quantitative finance.  This goal is accomplished by hosting seminars where leading practitioners and academics present new work, and following the seminars with a reception to facilitate further interaction and discussion.

Call For Speakers

If you are interested in speaking at one of the upcoming seminars, please email info@iaqf.org

Past Seminars

About The Organizer

Harvey Stein is a senior VP in the Labs group at Two Sigma. From 1993 to 2022, Dr. Stein was at Bloomberg, where he served as the head of several departments including Quantitative Risk Analytics, Counterparty and Credit Risk, Interest Rates Derivatives, and Quantitative Finance R&D. Harvey is well known in the industry, having published and lectured on credit risk modeling, financial regulation, interest rate and FX modeling, CVA calculations, mortgage backed security valuation, COVID-19 data analysis, and other subjects.

Dr. Stein is on the board of directors of the IAQF, a board member of the Rutgers University Mathematical Finance program, an adjunct professor at Columbia University, and organizer of the IAQF/Thalesians financial seminar series. He's also worked as a quant researcher on the Bloomberg for President campaign.

Dr. Stein holds a Ph.D. in Mathematics from the University of California, Berkeley (1991) and a B.S. in Mathematics from Worcester Polytechnic Institute (1982).

 



Upcoming Seminars

  • IAQF & Thalesians Seminar Series: Towards Professional Readiness of LLMs in Financial Regulations - A Seminar by Xiao-Yang Liu

    • 08 Apr 2025
    • 6:00 PM
    • Fordham University McNally Amphitheater 140 West 62nd Street New York, NY 10023
    Register


    6:00 PM Seminar Begins

    7:30 PM Reception


    Hybrid Event:

    Fordham University

    McNally Amphitheater

    140 West 62nd Street

    New York, NY 10023


    Free Registration!


    For Virtual Attendees: Please select virtual instead of member type upon registration.

    Abstract:

    In this talk, Xiao-Yang Liu will showcase their FinGPT--an open-source counterpart of BloombergGPT, on financial regulations. In particular, the team's two-year efforts on benchmarking financial large language models, with a zooming in Financial Regulations. He will also share ongoing projects in GenAI Research on Open Finance at Columbia University.


    The financial industry operates within a labyrinth of complex regulations and industry standards designed to maintain market integrity and ensure reliability in financial reporting and compliance processes. Intricate financial regulations and standards have presented significant challenges for financial professionals and organizations. Large language models (LLMs), such as GPT-4o, Llama 3.1, and DeepSeek's V3/R1 models, have shown remarkable capabilities in natural language understanding and generation, making them promising for applications in the financial sector. However, current LLMs face challenges in the domain of financial regulations and industry standards. These challenges include grasping specialized regulatory language, maintaining up-to-date knowledge of evolving regulations and industry standards, and ensuring interpretability and ethical considerations in their responses.

    Bio:

    Dr. Xiao-Yang Liu graduated in Electrical Engineering of Columbia University. He is part-time researcher at Lab GenAI Research on Open Finance, Columbia University, and a faculty member in RPI's CS department. His research interests include Reinforcement Learning, Large Language Models, Quantum Computing, and applications to finance. He created the popular open-source projects, FinGPT, FinRL, and ElegantRL.

    Show details

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