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:
- Understand how modern data architecture is simplifying analytics decisions
- Assess what data is required to reduce your loan portfolio risk
- Understand how to benchmark machine-learning-based pricing calculations
- Decide if your institution is ready to implement improved loan decision-making
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.
- Step-by-step whitepaper detailing the path from disparate data to predictive loan pricing
- Employee training log
- Interactive quiz
- Live - $245
- Recorded & Digital Copy - $245 plus tax
- Live, Recorded & Digital Copy - $320 plus tax
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.