Fair Lending Analysis That Easy to Understand
New Regression Ntelligence spots lending bias in minutes. Zero statistical expertise needed.
Fair Lending Compliance Software
Build your perfect fair lending analysis software bundle with Nlending. Manage every aspect of fair lending compliance — from transmittals, analytics and tracking to geocoding, mapping and AI-powered regression analysis. Choose from HMDA, consumer, and CRA tools.
Fair lending software trusted by financial institutions from coast to coast
Flexible Fair Lending Software
Nlending gives lenders the tools they need report data, identify potential discrimination, and comply with fair lending laws. From data scrubbing and transmittal to sophisticated analytics and expert support, Nlending has you covered.
Proxy assignment methodology for consumer lending analysis
Pre-loaded market data (Census, HDMA, and CRA)
Administrative control of authorizations and access levels
Notation recording capabilities
In-app storage and access to individual loan records
Ability to import a variety of data
Expert guidance
Single sign on (SSO) access
Automated geocoding
Fair Lending Analysis Software Benefits
Nlending delivers the clarity and proof you need to stand behind your fair lending performance with confidence.
Avoid compliance violations
Minimize errors in the collection and analysis of small business data.
Identify disparities
Uncover and investigate potential discrimination.
Enjoy Exam-Ready Reporting
Easily explain your loan data to examiners.
Better Serve Your Community
Ensure local credit needs are met.
Ready to Transform Your Lending Compliance?
Connect with a team of experts on the benefits of our fair lending solutions. Cut quarterly analytics workload from 96 hours to as little as 3 hours.
Customer Success Story
Imagine cutting the time spent analyzing and reporting loan data from days to mere hours – while significantly reducing fair lending risk. Oklahoma-based Valliance Bank did that with Nlending. Read how.
Frequently Asked Questions
A fair lending program is the formal framework a lender uses to ensure that all applicants and borrowers are treated fairly — with no discrimination based on race, ethnicity, gender, age, or other protected characteristics — across every stage of the credit lifecycle.
It typically includes policies and procedures, risk assessments, ongoing monitoring (including statistical analysis), training, and reporting.
The goal isn’t just legal compliance — it’s proactively detecting, preventing, and correcting potential bias before it causes consumer harm.
Fair lending analysis is the process of reviewing lending data, decisions, and outcomes to detect potential discrimination or disparities that could harm protected classes.
Advanced fair lending analysis often involves statistical testing, regression modeling, matched pair reviews, comparative file analysis, or trend monitoring over time — all with the goal of determining whether disparities exist and whether they can be explained by legitimate credit factors.
In short: fair lending analysis is the evidence-based testing that proves your lending decisions are fair — or helps you fix them before regulators do.
Fair analysis is deep, data-driven testing to detect disparities — often using statistical models or matched-pair reviews.
Fair lending monitoring is ongoing, proactive oversight — tracking trends, exception activity, complaints, and early warning signals. Monitoring is about staying ahead; analysis is about proving what’s already happened.
Fair Lending Regression Analysis: Are You Ready?
Find the real story in your lending data. Learn the goals, inputs, and outlier checks that matter.
The Fair Lending Analytics Buyer’s Guide
Learn about the key components to look for in a modern fair lending analytics solution.
7 Essential Fair Lending Risks
Fair Lending compliance can be complex - but a clear understanding of your risk can make it much simpler.
See how Ncontracts can help!
