Graduate Admissions

    Virtual Lecture: Credit Rating Projects using Machine Learning - Dan Wang

    Wednesday, April 8, 2020 at 9:00 AM until 10:00 AMEastern Daylight Time

    Zoom Web Conference

    Credit Rating Projects using Machine Learning

    The application of deep neural networks is helping researchers solve new kinds of finance problems. This talk is focused on a series of projects, and will touch on selecting the best features for machine learning methods, credit rating assessments using quarterly data and applications to portfolio management, and high-frequency credit rating using equity, bonds and other sources of data.

    MS in Financial Analytics

    Today’s technology-intensive finance industry is desperate for analysts who bring statistical and programming skills to banks, hedge funds and wealth management offices. The Stevens master’s in Financial Analytics teaches professionals to apply their physics, statistics or engineering skills to the lucrative finance industry. More

    Presenter: Dan Wang

    Dr. Zimeng ChengDan is a Ph.D. candidate at Stevens Institute of Technology. His work includes a special emphasis on machine learning and has been partially funded by UBS.


    09:00AM - 09:05AM: Introduction
    09:05AM - 09:30AM: Virtual Lecture by Dan Wang
    09:30AM - 09:40AM: Overview of the Stevens FA Program
    09:40AM - 10:00AM: Questions & Answers

    Register for the Virtual Lecture
    You may also be interested in these other Virtual Lectures by School of Business Faculty - register with one click:

    Contact Information

    Office of Graduate Admissions

    Location On Campus

    Howe Center, 11th Floor
    1 Castle Point Terrace
    Hoboken, NJ 07030

    Contact Types

    p. 888.STEVENS
    f. 888.511.1306