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Registration for this event is open from: | Dec 2, 2019 12:00 - Jul 21, 2020 12:00 | |
Where: | Webinar, Recorded, Both Live/Recorded, (US). | |
Date: | Jan 21, 2020 - Jan 21, 2020 | |
Time: | 02:00 - 03:30 | |
Event description: | ||
Data-Driven Loan Pricing(90-minute webinar – recording also available) Tuesday, January 21, 2020 12:00 PM Pacific 1:00 PM Mountain 2:00 PM Central 3:00 PM Eastern Learn how to go beyond the basic default risk and matching competitors’ loan pricing with machine-learning models. AFTER THIS WEBINAR YOU’LL BE ABLE TO:
WEBINAR DETAILS This webinar will demystify AI and explain how modern data tools can improve loan pricing and profitability for financial institutions of all sizes. Fundamentally, the accessibility of big data and machine learning has vastly decreased the cost of making accurate predictions. For lending, this means that you can go beyond basic default risk and matching competitors when pricing loans. Machine-learning models reduce lending risk and can even account for loan profitability and borrower lifetime value considerations at the time of issuance. This program will also focus on implementation and address specific ways for institutions to apply modern data architecture and machine-learning-derived loan pricing expertise in-house, without being eternally reliant on data vendors. Understanding how to unify and take control of your data is the first step toward more effective loan decisions. WHO SHOULD ATTEND? This webinar will benefit loan officers and executives looking for a practical guide to improving product pricing and technology officers who want to understand the investment required to decrease loan risk and improve quality loan volume. TAKE-AWAY TOOLKIT
MEET THE PRESENTER Josh Miramant, CEO, Blue Orange Digital Josh Miramant is a data analyst and data engineer who specializes in predictive analytics. Josh has used modern data architecture and advanced analytics to scale two venture-backed companies to millions of users. He founded Blue Orange Digital in 2015 to help financial institutions transform their data and apply advanced predictive analytics to improve business decisions. A proud Mainer with a degree from the University of Maine in Political Science with a focus on statistical polling analysis, Josh is very passionate about data governance. Please note: The live webinar option allows you to have one internet connection (from a single computer terminal). You may have as many people as you like listen and watch from your office computer. THREE REGISTRATION OPTIONSNote: All materials are subject to copyright. Transmission, retransmission, or republishing this webinar to other institutions or those not employed by your financial institution is prohibited. Print materials may be copied for eligible participants only.
The live webinar option allows you to have one internet connection from a single computer terminal. You may have as many people as you like listen and watch from your office computer. Registrants receive a website address and passcode that allows entrance to the seminar. The session will be approximately 90 minutes, including question and answer sessions. Seminar materials, including instructions, passcode, and handouts will be emailed prior to the broadcast. You will need the most current version of Adobe Reader available free at www.adobe.com.
Can’t attend the live webinar? This option provides a recording of the live event, including audio, visuals, and handouts. We even provide the presenter’s email address for follow-up questions. You will receive an email with the recorded webinar link, which can be viewed anytime 24/7, beginning 6 business days after the webinar. You will also receive instruction on how to download a free digital copy of the webinar to your PC, which you may keep and use indefinitely. The recorded webinar may ONLY be ordered for 6 months following the live webinar. In addition, the download must be completed within 6 months of the live webinar date.
Options 1 and 2 described above. AFFORDABLE, PROFESSIONAL TRAINING, WHEN AND WHERE YOU CHOOSE
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