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Showing posts with label Quality Control. Show all posts
Showing posts with label Quality Control. Show all posts

Tuesday, December 2, 2025

Non-Delegated Lenders: Quality Control for Non-QM Loans

Podcast | Substack

QUESTION 

I am one of the underwriters for a non-delegated lender. We received a request from an investor to conduct quality control. My boss says we do not have to do quality control. His position is that, at most, we need only a limited quality control audit. I came from another non-delegated lender, and they always did QC. 

He says we do not have to perform most aspects of QC audits, including credit analysis, re-verifications, credit reports, appraisal reviews, adverse action reviews, EPD issues, and GSE/FHA-VA underwriting reviews. Because we originate non-QM loans, he says QC is minimal. I read your Bulletin 2017-12, and it clearly shows that non-delegated lenders should do QC. 

I would like you to discuss QC requirements for non-delegated lenders. 

Does a non-delegated lender have to do quality control for non-QM loans? 

OUR COMPLIANCE SOLUTIONS 

We recommend the following compliance solutions for quality control support: 

Quality Control Audits

Our audits focus on risk mitigation, compliance, error correction, process improvement, verification, and ongoing monitoring. 

QC Tune-up®

This is our Second Line of Defense review that focuses on predictable output, reliable data, investor confidence, and reduced production cost. 

RESPONSE TO YOUR QUESTION

The question about a non-delegated lender having to conduct quality control seems to be one of those perennial questions that pop up from time to time. There is no mystery to the requirement. I appreciate that you have been reading our Bulletins. Anyone who wants to subscribe to our free Bulletins, please sign up! 

Whether you are originating QM or non-QM loans, you should be conducting quality control audits. Fannie Mae's non-delegated quality control (QC) requirements include having a comprehensive written QC plan, a process for selecting loans for prefunding and post-closing reviews, and a system for reporting and taking corrective action. 

If you're a non-delegated lender originating QM loans, the QC plan should be independent of the production process, and, among other things, you must conduct a minimum number of prefunding and post-closing QC reviews each month, based on a percentage of total loan volume. 

If you're a non-delegated lender originating non-QM loans, you should have QC processes in place. Because non-QM loans do not meet the criteria for purchase by Fannie Mae or Freddie Mac, the lender assumes all the risk, making a robust QC program essential to manage the loan quality and potential defects. 

Let's look somewhat broadly at the QC requirements. You must have a written QC plan that outlines your QC philosophy, objectives, and risks, with a process for selecting loans for review using random and/or discretionary methods across all products. The QC function must be independent of the production process, or, at a minimum, reviews must be conducted by personnel not involved in underwriting the specific loans subject to audit. 

The QC plan for QM loans must cover both prefunding and post-closing reviews, ensuring compliance with the Fannie Mae Selling Guide, the lender contract, and applicable laws. You can check out Fannie's requirements in the Lender Quality Control Programs, Plans, and Processes section. 

With respect to pre-funding, a minimum number of prefunding reviews must be completed each month, with the loan selection meeting at least the lesser of 10% of the prior month's total loans, 10% of current month projections, or 750 loans. 

Regarding post-closing, loans must be selected for monthly reviews, and the entire QC cycle must be completed within 90 days of loan closing. 

You must have documented procedures for reporting QC findings to management, documenting loan level findings for resolution, and taking timely corrective actions. All QC-related documentation must be retained for at least three years. An internal audit of the QC process itself should be performed annually to ensure compliance with the lender's policies and procedures. Our QC Tune-up®, a Second Line of Defense function, provides such support.

Thursday, June 27, 2024

Quality Control Red Flags and Automated Fraud Alerts

QUESTION 

I am the Chief Risk Officer of our company, a mortgage lender in the northwest. We have a nationwide footprint and an excellent Chief Compliance Officer. A persistent problem that she and I talk about is quality control findings, especially when the QC reports are showing fraud and misrepresentation. As a lawyer, I am cognizant of federal and state laws involving mortgage fraud. 

However, we want a Red Flags approach. We want to put Red Flag checks into our underwriting processes. Our IT department is ready to install them. However, it seems that Red Flags have to be brought in from many other areas other than quality control, such as anti-money laundering and identity theft prevention screening. Our interest, though, is concerning quality control flags. We want to layer them on the other Red Flags in our processing systems. 

What are some Red Flags relating to quality control that may be installed in our loan origination system? 

What suggestions do you have for digitizing flags, alerts, and Red Flags picked up by quality control? 

COMPLIANCE SOLUTIONS 

Quality Control Audits 

QC Tune-up®

ANSWER 

Although an objective of Quality Control (QC) is to identify and reduce fraud and misrepresentation, Red Flag awareness arising out of QC is important because it alerts to risks that can destabilize many areas of a company’s risk management areas. Please download the White Paper I published on Risk Management Principles (PDF). 

Red flag identification should be part of both post-closing and prefunding QC processes; indeed, prefunding QC is uniquely positioned to support production teams in identifying and remedying these defects. The prefunding Red Flags should be positioned in your prior-to-closing procedures. 

I hear all the time about the importance of Red Flags. But I have yet to hear a great definition of what should be considered Red Flags. Are Red Flags just itemized factors listed on an automated underwriting system, credit report, or even a mortgage fraud screening tool? Putting them in an LOS requires logic to go with it. A Red Flag is “something that indicates or draws attention to a problem, danger, or irregularity,” according to Merriam-Webster. Irregularities can take many forms, and you must ensure the logic needed to digitize those forms in a constantly changing business environment. 

The irregularities can topple an otherwise dependable approach to QC. A strong QC program is notable for its ability to assess all files for any irregularities to determine both the materiality and the cause of each irregularity. Such causes include human error, process gaps, data irregularities, misinformation, misrepresentation, and fraud. Human errors are likely to be isolated. Sure, irregularities can be identified through the use of digital technologies or simply by comparing similar data in various locations throughout the loan file (i.e., Social Security Number being consistent on all documents in the loan file). And, misinformation can be corrected through confirmation. However, multiple instances of error and misinformation may indicate misrepresentation or fraud. 

There are generally three types of Red Flags detection sources that should be installed in the logic of your loan origination system. These are digitized, automated systems such as credit reports and GSE engines, such as Desktop Underwriter and Collateral Underwriter. Digitized types function according to specific logic, for instance, by means of data validation and reconciliation, pattern recognition, and fraud detection. Each often requires a human to check online search engines to identify corroborating information, review documents for inconsistencies, and consider written or verbal reverification of information. 

You are not going to be able to rely solely on Red Flags in your loan origination system to catch mortgage fraud. At best, such embedded Red Flags will alert you to a potential threat. I would be very cautious in allowing Artificial Intelligence (AI) to trigger systemic loan flow decisions, such as issuing Adverse Action based entirely on its Red Flag utility. AI is still in the nascent stage of development. I’ve published several articles on Artificial Intelligence, if you want to consider my perspective. 

It is laudable as a matter of governance and risk management that you plan to use digital solutions that have the potential to enable QC to be more effective. Automated fraud tools can be installed in the LOS logic requirements. I also think you should watch for new solutions to automate lower-risk data accuracy elements, leaving human resources free to perform more complex reviews to some extent. Keeping your digital solutions deployed within operations must be accompanied by monitoring and periodic testing. Nevertheless, digital solutions also have limitations, and you must control for those limitations! Over-reliance on any technological solution may cause more harm than good. 

Red Flags caused by QC do not and cannot stand alone. They are part and parcel of the entirety of the loan origination process. Take a look at the prefunding checklist that your QC auditor uses. Suppose the prefunding screen is convertible into a technological solution, which thereby effectuates a means to identify loan origination risks. In that case, your list of Red Flags will grow and change over time. 

For instance, here are just a few such tools: fraud detection systems; investors’ software, such as Fannie Mae’s CU; and digital applications and proprietary tools for scrubbing internal data. Using tools such as these to identify Red Flags and elevated risk can be helpful in determining the loans that the QC auditor should sample. Other tools exist that may also be helpful, but to ensure you are selecting the best tools for your organization, you should develop a method for selecting, testing, and monitoring the efficacy of the tools you use. 

For a long time, I have heard of QC companies that provide their version of automated QC auditing, including color-coded tabs, all manner of interactive feedback, online transactions, digitized metrics, and supposedly automatic QC auditing at the loan level. Let me tell you a fact: automated risk and data-screening tools complement but do not replace a comprehensive prefunding QC program. My firm uses advanced technology for QC auditing of client files, and we audit thousands of files a year, but we never rely solely on a system solution to replace our prefunding or post-closing QC reviews. 

We always provide human analysis to prefunding and post-closing QC audits. No matter how sophisticated the automated tool is, it can fail or have gaps. If you plan to install logic that gleans prefunding QC findings in particular, you must continuously monitor for results that may reveal deficiencies while also highlighting new logic for tool enhancements and improvements. False positives can turn up in automated solutions, and there goes efficiency – along with the possibility of canceling a viable loan! Adjustments to testing parameters must be considered to ensure the proper balance between defect identification and false positives. In any event, you should continue to think of ways the tool can fail and how to fill those gaps operationally. 

If automated hard stops are not possible, implement a funding condition or post-funding review process to ensure loans with unresolved eligibility, compliance, or fraud flags do not get delivered to investors. Inevitably, some of these alerts become Red Flags that may be specific to your loan products, complexity, origination channels, geographic areas, and loan originator relationships (i.e., retail, wholesale). You should ensure that any automated tool is customized for your company’s desired controls before its use. And reject out-of-the-box settings that do not align with your organization’s unique risks. 

You do not mention the correlating action that should be taken when a Red Flag is triggered. That must be built into a system solution, with clear escalation paths for when the tool identifies flags or alerts, including individual management authorities and a sequence of escalation. It is essential that reporting, evaluation, and oversight of digitized system solutions, such as I have described above, are independent of the origination and underwriting staff. 

A final word about the “checkbox” approach to Red Flags triggered by prefunding or post-closing QC: the output of your tools should promote action that reduces a “check the box” approach. This may seem counterintuitive, but if the tool operates efficiently, it should constantly update and integrate its analytics. Therefore, your IT should consider integrating your tools into the loan origination system. Integration creates a basis for strategic loan selections and system hard stops for loans with defined eligibility, compliance, or fraud flags.


Jonathan Foxx, Ph.D., MBA
Chairman & Managing Director
Lenders Compliance Group

Thursday, May 30, 2024

Quality Control: Anticipating Defects and Trends

QUESTION 

Our quality control reports provide defects and trendlines, but we have never been able to put together a list of which defects keep occurring. A trendline is useful; however, trends change all the time, and each quarter presents new defects to chase after and fix.  

We outsource our monthly quality control audits, and we have an in-house quality control coordinator who monitors our policies and procedures for quality control. And I’m the in-house quality control coordinator. 

For the audit method, we use a random sample. In our region, there is a huge competitor that uses discretionary samples. I wonder if they have an advantage in being able to identify defects better than we can by using the random sampling method. 

My concern is determining how to stay informed of the frequency of recurring defects. Since defects change each quarter, I want to know how to list and track them so that I can anticipate and cure them going forward. 

How can I anticipate defects and trends in quality control audits? 

COMPLIANCE SOLUTIONS 

Quality Control Audits 

QC Tune-up® 

ANSWER 

I am going to show you how you can use the audit findings of discretionary quality control audits to anticipate defects and trends in random quality control audits. 

First, I am going to provide some findings that Fannie has offered.[i] You likely have many investors, Fannie being one of them. Many of them utilize both random and discretionary analytics to determine if their relationship partners meet their quality control standards. Lenders often face many of the same challenges. Being aware of the defect trends across the industry allows for more dynamic QC, better action planning, and prevention of similar defects in your organization. 

But don’t be too caught up in an investor’s report if your defect does not appear there. If you’re not experiencing the same defects, it may mean that you already have effective origination controls in place. There is also the possibility that your auditor is not picking up on the defect. 

You should keep a list of the top defects occurring in your reports and investor reports. Keeping the list streamlines your ability to anticipate defects. Use the list to train on, too. You should be leveraging the list of defect trends to develop training opportunities for your staff, underwriters, and other participants in the loan flow process. This is a critical way to get ahead of the trending defects. Develop training to prevent these defects from occurring. 

________________________________________________________

 Quality Control Audits

 QC Tune-up

________________________________________________________

If you want to discuss your approach to quality control, please contact Brandy George, our Executive Director of LCG Quality Control. You can reach Brandy here.

My table below provides a means to anticipate defects as well as a learning tool for training. You can add more columns if you’d like. In our analyses, these are some of the defects that investors reported last year in random sampling. I will list them and add a Best Practice. The Best Practice is an essential component of your training experience. (I have left some blanks in the table to show other possibilities.)

RANDOM SAMPLE

Defect

Description

Best Practice

Income and Employment

Calculation errors

-During prefunding QC, be sure to target complex income streams, especially on higher DTIs.

-Assess the year-over-year trends. The variable income requires evaluation of consistency and predictability.

Borrower Eligibility

Borrower not employed

-Perform extra due diligence in addition to the verbal verification of employment. (i.e., Internet searches; email borrower at job address as close to closing as possible; track and move the verification timeline up.

-Be aware of specific volatile jobs or industries that are more susceptible to workforce disruptions.

Appraisal

Inadequate comparable adjustments; condition and quality rating discrepancies

-Utilize value acceptance + property data (VA+PD), when applicable, to increase certainty, better manage risk, and gain process efficiencies.

Assets

Insufficient

Using one-month statements when two months are appropriate.

Liabilities

 

 

Credit

 

 

Loan Documentation

 

 

Title/Lien

 

 

Fraud

 

 


Please note that the severity of certain defects may make the loan ineligible to certain investors. For instance, a Significant Defect is an issue that makes the loan ineligible for delivery to Fannie Mae and requires remediation or could result in a potential repurchase. An Initial Significant Defect occurs when a Significant Defect has been cited, but remediation activity is still in progress. 

Discretionary sampling is valuable when you want to do a comparative analysis, even if you only do random sampling. As I mentioned above, you can get discretionary (or targeted) audit results directly from many investors. 

Sometimes, the discretionary and random defects sync up. Take the category of appraisals, for example. In the random sample table above, inadequate comparables are a defect. However, Fannie reported in the fourth quarter of 2023 that their discretionary sampling listed appraisal errors amongst the highest of their defect trends.[ii] In this category example, importantly, the investor’s discretionary sample drills down into the appraisal defects to broaden out the findings, as the following table shows.

Discretionary Sampling

Defect

Description

Appraisal

Inadequate Comparable Adjustment(s)

Failure to Adjust Comparables

Inappropriate Comparable Sale(s) Selection Due to Location

Comparable Sale(s) Physical Features Reported Inaccurately - Condition / Quality of Construction

Use of Physically Dissimilar Comparable

Sale(s) - Gross Living Area

A discretionary sample intentionally looks for loans with a greater likelihood of being defective or ineligible. Your random defect trendline, however, may be low in a category yet high in the investor’s trendline. That information provides a possible anticipatory impact, so you should be monitoring that category closely, even though it is currently reporting a low defect and trend.

Taking a strategic approach to comparing random to discretionary sampling can lead to the ability to anticipate defects and trends. The opportunity to use this information to enhance your sampling findings, plus ongoing training, is established on both prefunding and post-closing quality control reviews.


Jonathan Foxx, Ph.D., MBA
Chairman & Managing Director 
Lenders Compliance Group


[i] See, for instance, the quarterly quality control report provided by Fannie Mae, which outlines random and discretionary audit findings, including defect and trend analyses. Freddie Mac offers a similar report. And many investors will provide information regarding their overall findings quarter-over-quarter or other calendrical intervals.

[ii] Idem

Thursday, September 21, 2023

A New Quality Control Program

QUESTION 

We are a lender in the southwest. I am the VP of mortgage lending. Our loans are only conventional on 1-4 single family residential property. Our primary investor is Fannie Mae. We do not originate government loans or investor loans. 

Recently, we ended the relationship with our quality control auditor. So, we're now looking around to replace them. We went to a conference where several lenders highly recommended your firm. So, our compliance manager will be contacting you soon. 

Now, we're updating our quality control plan. We need to start over with a new quality control plan. We need guidance about the areas we should outline in the QC plan. I realize this is a big subject, so maybe you can provide an overview of the basic elements. 

What are the basic requirements of a QC Plan? 

ANSWER 

There are essentially six parts to a basic Quality Control Plan ("Plan" or "Program"). More about that shortly. Depending on the company's size, risk profile, complexity, loan products, and investor conduits, to name a few factors, the Plan's purpose is central to controlling a mortgage lender's originating environment. 

Thank you for contacting us to handle your quality control auditing. We can accommodate any production size and audit virtually all loan products. We have an entire group devoted to quality control, headed by an Executive Director, and staffed with an accomplished audit staff. 

Please contact us here. We'll see that you speak directly with our audit management team. 

I would add that it is critical to ensure that the Plan and the QC auditing are aligned. When regulators and investors review your QC reports, they want to see that you are implementing the requirements of your specific Program. When LCG conducts QC, we can provide a Plan that properly reflects your auditing needs. Be sure to discuss the Plan requirements when you speak to us. 

You should consider establishing a baseline review of your quality control compliance. To effectuate this assessment, many company's use our QC Tune-up. This mini-audit provides substantive evaluation of your quality control function and provides a risk rating. It's cost-effective, hands-on, and quick. If interested, contact us here for information about the QC Tune-up.

Because you originate only conventional loans and your primary investor is Fannie Mae (“Fannie”), my response will address the QC requirements for conventional generally and Fannie in particular.[i]

Your QC Plan must define your lending standards for loan quality, establish processes designed to achieve those standards and mitigate risks associated with the loan origination processes. In that regard, Fannie requires the lender to develop and implement a QC program that provides a structure for identifying the deficiencies in the loan manufacturing process and implementing plans to remediate those deficiencies and underlying issues quickly. 

Six Parts of a Quality Control Program 

I mentioned above that there are six parts to a basic Quality Control Plan. I am going to provide a brief description of each part. I urge you to contact us if you want a more detailed discussion. 

The six parts of a QC Program are: 

1.     Overview; 

2.     Contents; 

3.     Standards and Measures; 

4.     File Reviews; and 

5.     Reporting and Remediation. 

Overview 

Put simply, the Program must include a documented QC Plan that outlines requirements for validating that loans are originated under its established policies and procedures. 

The Overview must provide guidelines to ensure that: 

·     the loans comply with applicable federal, state, and local laws and regulations; 

·     the loans comply with investors' guidelines, such as Fannie Mae's Selling Guide, all related contractual terms and agreements, and are in all respects eligible for delivery to Fannie; and 

·     the Plan must guard against fraud, negligence, errors, and omissions by officers, employees, contractors (whether or not involved in the origination of the mortgage loans), brokers, borrowers, marketing partners, and others involved in the mortgage process. 

Contents 

The Plan must include documented QC procedures that establish standards for quality and incorporate systems and processes for achieving those standards. At a minimum, the Plan must contain the following categories.

 

·     Quality standards and measures, including:

 

o   a general overview and description of the QC philosophy;

 

o   the plan objectives;

 

o   specific risks to be measured, monitored, and managed; and

 

o   the methods used to ensure the Program is an independent and unbiased function, including program governance (targets, sampling) and transaction execution.

 

·     Procedures involving detailed operating and reporting methods for all employees affected by the QC process.

 

·     QC file review process: a process for performing prefunding and post-closing QC file reviews, including, at a minimum, a method for

 

o   confirming compliance with the investors’ guidelines, all related contractual terms and agreements, and that the loans are in all respects eligible for delivery to Fannie; and

 

o   confirming compliance with applicable federal, state, and local laws and regulations.

 

·     Sample selection process: the procedures and metrics for identifying a representative sample of loans for QC file reviews using both random and discretionary selection methodologies, as applicable, that include loans

 

o   originated through each applicable production channel (for example, retail, correspondent, and third-party originators);

 

o   originated under all mortgage products (for instance, fixed, ARM, and special or niche programs); and

 

o   originated using all underwriting methods (manual and AUS).

 

·     Reporting: written procedures for reporting the results of the QC file reviews, including the method of monthly reporting of review findings, including

 

o   the method of monthly reporting of review findings;

 

o   identifying critical components included in the reports;

 

o   distributing summary-level findings to senior management;

 

o   distributing loan-level findings to the business unit(s), specifically to parties within the business unit(s) responsible for resolution;

 

o   requiring a timely response to and resolution – or resolution plan – of findings identified in the QC review process; and

 

o   maintaining accurate and detailed records of the QC reviews’ results.

 

·     Vendor review: a process for reviewing the QC work performed by the third-party auditors.

 

·     File retention: procedures for maintaining for three years records of the QC findings and reports, loan files reviewed, and all related documentation, including chronicling the location of such records.

 

·     Audit: an audit process to ensure that the lender’s QC processes and procedures are followed by the QC staff and that its assessments and conclusions are recorded and consistently applied. 

Quality Standards and Measures 

This is a somewhat complicated area, often leading to confusion. So, I will offer a high-level description. A lender is responsible for the development and maintenance of standards for loan quality and the establishment of processes designed to achieve those standards. 

To evaluate and measure loan quality standards effectively, the lender must establish a methodology for identifying, categorizing, and measuring defects and trends against an established target defect rate. 

At a minimum, the lender must identify any loans with a defect; specifically, these are loans not in compliance with investor guidelines or other related contractual terms and agreements. A methodology must be established by which all loans with identified defects can be categorized based on the severity of the defect. The lender must define the severity levels appropriate to its organization and reporting needs; however, the highest severity level must be assigned to those loans with defects resulting in the loan not being eligible as delivered to Fannie. 

The lender must also establish target defect rates for its organization, reflecting its quality standards and goals. Establishing a target defect rate is based on a lender’s post-closing random QC sample. It enables the lender to regularly evaluate and measure progress in meeting loan quality standards. 

Different target defect rates may be established for different severity levels; however, at a minimum, a target defect rate must be established for the lender’s highest level of severity. 

Here’s an suggestion: a target defect rate that is as reasonably low as possible should be established. Once the targets are set, performance against the targets must be measured at least quarterly and reported to management. It is also essential that the target defect rate(s) be evaluated and, if necessary, reset at least annually. The lender must document the rationale for establishing the target rate(s). During a Fannie review, consideration may be given to how the lender’s chosen target defect rate affects the investor’s risk. Sometimes, this leads to the investor requiring a more realistic target.

Thursday, July 6, 2023

Appraiser Selection and Independence

QUESTION 

We had a problem recently with one of our appraisers. Long story short, he had a criminal background that we did not know about. We found out about it when he got caught falsifying his evaluations by getting bribed by a loan officer. 

Both the appraiser and the loan officer were fired. As the one and only compliance manager in our company, it is up to me to revise our appraiser independence policy. I need to know how to select appraisers and how to manage our appraiser list. 

What criteria should I use to select appraisers? 

How do I manage the appraiser list? 

ANSWER 

Don't be too hard on yourself. You might have a decent appraiser independence policy; however, people who are set on committing crimes will tend to ignore your standards and do whatever they can to defeat your protective systems. 

This is why it is not sufficient just to have a good appraiser independence policy. You must monitor it and conduct risk assessments. We offer the AIR Tune-up to give you the feedback you need about Appraiser Independence Requirements. Contact us and we'll send you information about it. 

An institution's collateral valuation program should establish criteria to select, evaluate, and monitor the performance of appraisers and persons who perform evaluations. 

The criteria should ensure that: 

·     The person selected possesses the requisite education, expertise, and experience to complete the assignment competently; 

·     The institution periodically reviews the work performed by appraisers and persons providing evaluation services; 

·     The person selected is capable of rendering an unbiased opinion; and 

·     The person selected is independent and has no direct, indirect, or prospective interest, financial or otherwise, in the property or the transaction. 

The appraiser selected to perform an appraisal must hold the appropriate state certification or license at the time of the assignment. 

Importantly, persons who perform evaluations should possess the appropriate appraisal or collateral valuation education, expertise, and experience relevant to the type of property being valued. Such persons may include appraisers, real estate lending professionals, agricultural extension agents, or foresters.[i] 

An institution or its agent must directly select and engage appraisers. The only exception to this requirement is that the Agencies' appraisal regulations allow an institution to use an appraisal prepared for another financial services institution, provided certain conditions are met. 

An institution or its agents also should directly select and engage persons who perform evaluations. Independence is compromised when a borrower recommends an appraiser or a person to perform an evaluation. 

Independence is also compromised when loan production staff selects a person to perform an appraisal or evaluation for a specific transaction. For certain transactions, an institution also must comply with the provisions addressing valuation independence in Regulation Z (Truth in Lending Act).[ii] 

An institution's selection process should also ensure that a qualified, competent, and independent person is selected for a valuation assignment. An institution should maintain documentation to demonstrate that the appraiser or person performing an evaluation is competent, independent, and has the relevant experience and knowledge for the market, location, and type of real property being valued. 

Furthermore, the person who selects or oversees the selection of appraisers or persons providing evaluation services should be independent from the loan production area. 

Your institution should prohibit the use of borrower-ordered or borrower-provided appraisals, as this would violate the Agencies' appraisal regulations. However, a borrower can inform an institution that a current appraisal exists, and the institution may request it directly from the other financial services institution. 

With respect to managing the approved appraiser list, if an institution establishes an approved appraiser list for selecting an appraiser for a particular assignment, it should have appropriate procedures for the development and administration of the list. 

These procedures should include a process for qualifying an appraiser for initial placement on the list and periodic monitoring of the appraiser's performance and credentials to assess whether to retain the appraiser on the list. 

There should be periodic internal reviews of the approved appraiser list to confirm that appropriate procedures and controls exist to ensure independence in the list's development, administration, and maintenance. 

For residential transactions, loan production staff can use a revolving, pre-approved appraiser list, provided the development and maintenance of the list are not under their control. 

Jonathan Foxx, Ph.D., MBA
Chairman & Managing Director 
Lenders Compliance Group


[i] Although not required, an institution may use state certified or licensed appraisers to perform evaluations. Institutions should refer to USPAP Advisory Opinion 13 for guidance on appraisers performing evaluations of real property collateral

[ii] See 12 CFR § 1026.42