HMDA Fair Lending Exam Preparation for LOs and Managers

HMDA exam preparation is not just a compliance exercise. It is an opportunity to audit your own lending patterns before an examiner does.

What Examiners Look For in HMDA Data

Examiners use HMDA LAR data to identify statistical disparities in approval rates, denial rates, pricing, and loan amounts across demographic groups protected under ECOA and the Fair Housing Act. They run peer analysis comparing your institution's denial rates by race, ethnicity, gender, and census tract against similar lenders in the same market. Statistically significant disparities trigger deeper file review.

High-Risk Data Points

• ✦Denial rate gaps: if your denial rate for one protected class is materially higher than for a similarly situated control group, it flags for review
• ✦Pricing disparities: HMDA requires rate spread reporting for loans above APOR thresholds; disparate rate spreads across protected classes trigger HPML review
• ✦Redlining indicators: significantly lower application volume from majority-minority census tracts relative to your CRA assessment area peer group
• ✦Reverse redlining: concentration of high-cost loans in majority-minority areas relative to low-cost loans in majority-white areas

Preparing Your File Documentation

The best defense against a fair lending finding is consistent, documented underwriting rationale for every decision. Denial reasons must be specific and match the documented file evidence. If a file was approved with compensating factors, those factors must be in writing. Pricing decisions that deviate from standard pricing sheets must have documented business justification. Examiners ask for the pricing exception log during exams; unlogged exceptions or a log that shows consistent direction (e.g., only reducing pricing for one demographic group) are red flags.