Credit Scoring Models: Understanding Lending Use & Limits
On-Demand Webinar:
StreamedApr 14, 2026Duration90 minutes
- Unlimited & shareable access starting two business days after live stream
- Available on desktop, mobile & tablet devices 24/7
- Take-away toolkit
- Ability to download webinar video
- Presenter's contact info for questions
Credit scores drive lending decisions, but do you truly understand what they reveal — and what they miss?
This webinar will examine where scoring models excel, where they fall short, and how they fit into a broader, more reliable credit risk strategy. Join financial services expert David Reed as he explores traditional and emerging scoring models, borrower analytics, and integration techniques that lead to stronger underwriting and portfolio performance.
KEY WEBINAR TAKEAWAYS
- How credit scoring models are designed and what risk they are meant to predict
- Why credit scores vary and how those differences affect underwriting and pricing
- Where credit scores add value and where overreliance increases risk
- Common credit score limitations that drive poor loan performance
- How to combine credit scores with borrower analytics to improve portfolio results
BONUS MATERIALS
- Credit score use and limits reference guide
- Underwriting decision support matrix
- Common credit scoring misconceptions checklist
- Portfolio risk segmentation discussion guide
WEBINAR DETAILS
Credit scores are embedded in nearly every lending decision, yet they are often relied on without a full understanding of what they measure and where they fall short. Credit scores do not capture the full picture of borrower risk, and overreliance on them can lead to inconsistent decisions, higher delinquencies, and weaker portfolio performance. This in-depth session will explore traditional and newer credit scoring models, as well as the increasing use of borrower analytics to enhance credit risk assessment. We will focus on practical application, showing how to integrate credit scores with other risk factors to improve credit quality, reduce losses, and strengthen examiner confidence. When properly used within a broader risk framework, credit scoring models can support better risk management, more consistent underwriting, and stronger lending outcomes.
WHO SHOULD ATTEND?
- Lending and underwriting staff
- Credit administration
- Loan servicing
- Loan review
- Compliance
- Risk management
- Internal audit
- Collections teams
- Senior management involved in credit decisions or oversight
TAKE-AWAY TOOLKIT
- Employee training log
- Interactive quiz
- PDF of slides and speaker’s contact info for follow-up questions
- Attendance certificate provided to self-report CE credits
NOTE: All materials are subject to copyright. Transmission, retransmission, or republishing of any webinar to other institutions or those not employed by your institution is prohibited. Print materials may be copied for eligible participants only.
TESTIMONIALS
"David Reed is great to listen to. He is engaging and
interesting, and he does not just read from a script. Very good choice for this
webinar!"
- Amber, Front Royal Federal Credit Union
Presented By

Reed & Jolly, PLLC
Other Webinars That Might Interest You

When a Business Owner Dies, Sells, or Delegates Authority
by Shelli Clarkston

Writing Effective Credit Memos & Loan Narratives
by Molly Stull

Auditing Consumer Real Estate Files
by Dawn Kincaid

Handling Legal Documents: POAs, Trusts, Estates & Guardianships
by Deborah L. Crawford

Beginning Collector: What to Know on Day 1 & Beyond
by David A. Reed

When a Borrower Dies: Next Steps
by Shelli Clarkston

The IRS Auto Loan Interest Deduction: Final Rule & Form 1098-LVI Reporting
by David A. Reed

Current Expected Credit Losses (CECL): What Auditors & Regulators Expect
by Stephen J.M. Schiltz

Fair Lending Risks in AI-Driven Credit Decisions: Bias by Algorithm
by David A. Reed

Credit Analysis & Lending Series
© 2026 FINANCIAL EDUCATION & DEVELOPMENT, INC


