Mileva is a roadmap that highlights and centralizes all the necessities for a regulatory review. Mileva summarizes numerous risk issues and allows you to document how your team is addressing those issues through your policies & procedures, training, controls, testing, and remediation.
Consumer Complaint Tracking solution centralizes all points of contact and acts as a live database.
Each week CFPB sends thousands of consumers’ complaints about financial products and services to companies for response. Make sure you are meeting Regulatory requirements by using our system.
Complaints are published after the company responds or after 15 days, whichever comes first. Avoid reputational damage by staying on top of your complaints and escalations while also avoiding regulatory findings.
Provide your staff the tool to record new complaints in the quickest most efficient way possible while centralizing all details.
Rapidly generate standard and custom Reports and Charts and have your finger on the pulse with a real-time Dashboard.
Allows the creation of fully customized web forms to record all level of details while allowing your own terminology for field labels and drop-down lists.
Notify the Right People and notify each time a new complaint is received as well as: Reminders, Inactivity alerts, Task assignments, Review requests, Closure requests
Fair Lending Regression can foresee which applicants should have been approved or denied, loan price, and price-predicted APR, and then compare those results to what happened. Estimates next State Examination based on prior Audits and additional attributes.
Deep dive into “outliers,” like loans that were denied or priced higher/lower than the model predictions. Track historical findings and Remediation.
Identify decisions based on credit and pricing to determine and explain if a prohibited basis was factored into the price of the loan or credit decision
Loan Underwriting Analysis: Logistic model in which credit policy factors that inform the underwriting decision are accounted for. The goal is to test for statistically significant relationships between decisioning and prohibited basis groups.
Loan Pricing Analysis: Linear model in which loan pricing is examined to determine whether it is similar for “similarly situated” (similar credit and loan characteristics) applicants.
Matched Pairs Analysis: An Overlap Analysis that determines outliers using a measure of discrepancy of each loan for additional review.