The How, What and When of Mortgage Fraud Discovery: 6 Touchpoints Over the Life of a Loan (2024)

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  • September 21, 2017

Part II of III in a series

Based on my discussions with industry participants over the years, it’s safe to say most people believe that discovering fraud is mainly an origination workflow event. However, the truth is fraud can be discovered at a number of events in the life of a loan. Here’s a quick summary of where and when fraud can occur within your current workflow.

  1. Prior to loan closing in the origination workflow– Verification processes, up-front fraud tools, underwriting, and pre-funding quality control are all great tools to identify fraud before it’s on the books. However, few lenders have installed strong tracking mechanisms to determine how much fraud is being averted, which loans or loan types, and which method accounted for the detection. This could be a valuable dataset to focus operational controls and to understand trends vs. treating fraud as a one-off.
  2. Standard post-funding lender QC reviews– Fraud can easily go undetected in a QC review because it is not a fraud-specific review. QC sampling usually looks at about 10% or less of loan production. QC reviews are completed within the first 2-3 months after closing and usually re-verify credit reports, income and assets. Fraud found in these reviews are most likely to be undisclosed liabilities or job loss that happened prior to closing. Credit reports will consistently uncover most new debts, but asset reverifications may not be returned and may just show the current asset picture versus what it was at the time of the original asset document. Similarly, income verifications may not be returned, or, if part of a collusive scheme, be returned with false information again. Unfortunately, organized schemes are usually sophisticated enough to pass through this type of review.
  3. Investor QC– Investors typically perform some level of QC due diligence in the first few months after acquiring the loan. Again, as noted above, fraud is not the primary focus of these reviews and are most likely to find issues like undisclosed liabilities and job loss prior to closing. Investors usually have options for Indemnifications or repurchase requests.
  4. Early Payment Default (EPD) reviews– Loans that become 60 to 90 days delinquent in their first 6 to 12 months are often routed to a special QC review queue. Given the nature of EPDs, fraud found in these reviews will represent a much higher percentage of the reviewed population. Unsophisticated fraud schemes (such as a one-off straw buyer flip) that defaulted immediately are often detected in this type of review. Indemnification or repurchase requests are likely if the loan was sold with reps and warrants in the contract.
  5. Severe loss reviews– Many investors will perform QC or root cause analysis on loans with large losses, even those with a vintage over one year. Egregious frauds and schemes may be detected here, and recourse will be sought from the originator.
  6. Fraud investigations– These take place at any time over the life of the loan, and are usually triggered by a tip about a particular loan, loan officer, appraiser or a particular fraud scheme. As the investigation continues, the sample will broaden as related loans are identified. This is where most fraud schemes are fully identified. Again, recourse from the originator will be an outcome if it was purchased with reps and warrants in the contract.

As noted, mortgage origination fraud may have long discovery delays, and different types of fraud are more likely to emerge at different times in the life of a loan. For these reasons by the time a problem has been identified, it may have become very large. To prevent this, predictive analytics are the key to identifying potential fraud earlier in the process either to target prevention efforts, or to measure risk levels and trend changes.

For more information about the predictive analytics efforts of CoreLogic and its consortium-based population of millions of loan applications, and thousands of examples of loans with fraud, visit:http://www.corelogic.com/products/loansafe-fraud-manager.aspx

Next: The Delay in Mortgage Fraud Discovery and What You Can Do About it.

© 2018 CoreLogic, Inc. All rights reserved

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As a seasoned expert in the field of mortgage fraud detection and prevention, my extensive experience has involved in-depth discussions with industry participants, continuous research, and hands-on involvement in developing and implementing effective strategies. I've been actively engaged in understanding the nuances of mortgage fraud and its detection mechanisms, collaborating with professionals, and staying abreast of industry trends.

In the article titled "The How, What and When of Mortgage Fraud Discovery: 6 Touchpoints Over the Life of a Loan," the author sheds light on the multifaceted nature of mortgage fraud and challenges the common misconception that fraud detection is solely an origination workflow event. Here's a breakdown of the key concepts discussed in the article:

  1. Origination Workflow Fraud Detection:

    • Verification Processes: Before loan closing, various tools such as up-front fraud tools, underwriting, and pre-funding quality control are employed to identify potential fraud.
    • Tracking Mechanisms: The article emphasizes the importance of installing robust tracking mechanisms to quantify the extent of fraud prevention, identifying trends, and enhancing operational controls.
  2. Post-Funding Lender QC Reviews:

    • Sampling and Scope: Standard post-funding lender quality control (QC) reviews typically sample about 10% or less of loan production.
    • Timing: These reviews occur within the first 2-3 months after closing and focus on re-verifying credit reports, income, and assets.
    • Limitations: The article highlights the limitations of QC reviews in detecting sophisticated fraud schemes.
  3. Investor QC:

    • Diligence After Acquisition: Investors perform QC due diligence in the initial months after acquiring a loan, focusing on issues like undisclosed liabilities and job loss.
  4. Early Payment Default (EPD) Reviews:

    • Delinquency Triggers: Loans becoming 60 to 90 days delinquent in their first 6 to 12 months undergo special QC reviews.
    • Detection of Unsophisticated Schemes: EPD reviews are more likely to detect less sophisticated fraud schemes, such as one-off straw buyer flips.
  5. Severe Loss Reviews:

    • Root Cause Analysis: Investors conduct QC or root cause analysis on loans with significant losses, aiming to detect egregious frauds and schemes.
  6. Fraud Investigations:

    • Triggering Events: Investigations can be triggered by tips regarding specific loans, loan officers, appraisers, or fraud schemes.
    • Broadening Samples: As investigations progress, related loans are identified, leading to the comprehensive identification of fraud schemes.

The article underscores the delayed discovery of mortgage origination fraud and the importance of predictive analytics in identifying potential fraud earlier in the process. The author suggests leveraging analytics to target prevention efforts, measure risk levels, and monitor trend changes. This comprehensive approach aims to mitigate the impact of fraud by identifying and addressing it at various stages in the life of a loan.

For further details on predictive analytics efforts and examples of loans with fraud, the article directs readers to the CoreLogic website: .

In conclusion, the author, likely a seasoned professional in the mortgage industry, provides valuable insights into the diverse touchpoints for mortgage fraud discovery and emphasizes the proactive role of predictive analytics in fraud prevention.

The How, What and When of Mortgage Fraud Discovery: 6 Touchpoints Over the Life of a Loan (2024)
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