In today’s highly automated mortgage lending environment, the ability to navigate and utilize advanced underwriting technology is no longer optional—it’s a competitive necessity. Pideya Learning Academy presents the DU & LP Advanced Workshop (Desktop Underwriter® and Loan Product Advisor®), a comprehensive training designed for mortgage professionals who aim to elevate the efficiency, compliance, and accuracy of their underwriting processes.
As the mortgage industry continues to embrace digital transformation, automated underwriting systems (AUS) have become integral tools. According to the Mortgage Bankers Association, more than 95% of mortgage applications in the United States are processed through AUS platforms. This widespread adoption underscores the critical need for professionals to fully understand the logic, structure, and compliance frameworks embedded within tools like Fannie Mae’s Desktop Underwriter (DU) and Freddie Mac’s Loan Product Advisor (LPA, formerly LP).
This specialized training course dives deep into the strategic implementation and operational utilization of DU and LPA to streamline risk analysis, enhance approval outcomes, and reduce errors that may lead to costly repurchase scenarios. Participants will gain clarity on the evolving role of AUS in modern lending, how to align underwriting with GSE (Government-Sponsored Enterprise) requirements, and how to efficiently interpret feedback findings to strengthen loan quality.
Within the context of this evolving industry, Pideya Learning Academy equips participants with the expertise to integrate AUS systems seamlessly into their loan origination workflow. Attendees will explore how automated logic evaluates borrower profiles, detects inconsistencies, classifies risks, and flags documentation issues—thereby enabling more informed and compliant underwriting decisions.
This course offers the following key takeaways blended throughout the training:
Detailed walkthrough of Desktop Underwriter and Loan Product Advisor functionality
Deep understanding of risk classification, eligibility, and AUS rule engines
Documentation standards for income, assets, and collateral aligned with GSE expectations
Identification and resolution of common red flags and data discrepancies
Techniques to manage compensating factors and investor overlays
Methods to integrate AUS outputs into loan origination systems (LOS)
Strategic application of underwriting findings to optimize loan salability
By completing this workshop, participants are positioned to not only enhance the speed and accuracy of underwriting decisions but also reduce exposure to compliance risk, strengthen investor confidence, and improve operational workflows.