WEBVTT

NOTE
This file was generated by Descript 

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Samantha: Hello, this is Samantha Shares.

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This episode provides a comprehensive
summary with extensive direct

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quotes from the OCC's Comptroller's
Handbook booklet "Model Risk

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Management" released as Version 1.0,

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August 2021.

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Complex credit unions can improve
operations via the principles

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discussed in the handbook.

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This podcast is educational
and is not legal advice.

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We are sponsored by Credit Union
Exam Solutions Incorporated, whose

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team has over two hundred and
Forty years of National Credit

00:00:31.229 --> 00:00:33.149
Union Administration experience.

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We assist our clients with N C
U A so they save time and money.

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If you are worried about a recent,
upcoming or in process N C U A

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examination, reach out to learn how they
can assist at Mark Treichel DOT COM.

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Also check out our other podcast called
With Flying Colors where we provide tips

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on how to achieve success with N C U A.

00:00:54.099 --> 00:00:56.829
And now the comprehensive
summary with direct quotes.

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Introduction and Purpose

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The Office of the Comptroller of the
Currency's (O C C) Comptroller's Handbook

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booklet, "Model Risk Management," is
"prepared for use by O C C examiners

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in connection with their examination
and supervision of national banks,

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federal savings associations, and
federal branches and agencies of

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foreign banking organizations."

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The booklet aligns with the principles
laid out in the "Supervisory

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Guidance on Model Risk Management"
conveyed by O C C Bulletin 2011-12.

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This booklet serves multiple purposes.

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It is "designed to guide examiners in
performing consistent, high-quality

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model risk management examinations,"
it "presents the concepts and general

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principles of model risk management,"
and "informs and educates examiners about

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sound model risk management practices that
should be assessed during an examination."

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Additionally, it "provides information
needed to plan and coordinate

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examinations on model risk management,
identify deficient practices, and

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conduct appropriate follow-up."

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Definition and Background of Models

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The O C C provides a clear definition
of what constitutes a model: "For the

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purposes of this document, the term
model refers to a quantitative method,

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system, or approach that applies
statistical, economic, financial, or

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mathematical theories, techniques,
and assumptions to process input

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data into quantitative estimates."

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A model consists of three components:

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1.

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"An information input component,
which delivers assumptions

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and data to the model"

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2.

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"A processing component, which
transforms inputs into estimates"

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3.

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"A reporting component, which
translates the estimates into

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useful business information"

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The guidance acknowledges that "models
are simplified representations of

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real-world relationships among observed
characteristics, values, and events"

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and that "simplification is inevitable,
due to the inherent complexity of those

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relationships, but also intentional,
to focus attention on particular

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aspects considered to be most important
for a given model application."

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It's important to understand that
"models are never perfect" and their

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quality can be measured in many
ways, including "precision, accuracy,

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discriminatory power, robustness,
stability, and reliability."

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The handbook emphasizes that "in
all situations, it is important to

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understand a model's capabilities
and limitations given its

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simplifications and assumptions."

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In contrast to models, the guidance notes
that "a quantitative tool not meeting

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the definition of a model described in
the M R M Supervisory Guidance may apply

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deterministic rules or algorithms to
process information and produce outcomes

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defined by the deterministic rules."

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The determination of "whether a
quantitative tool is considered a model

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is bank-specific, and a conclusion
regarding the tool's categorization

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should be based on a consideration
of all relevant information."

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Expanded Use and Importance of Models

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Banks now "rely heavily on
quantitative analysis and models in

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most aspects of financial decision
making" and "routinely use models

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for a broad range of activities."

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Examples of model uses include:

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"Underwriting and managing credits"

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"Valuing trading exposures"

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"Pricing"

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"Risk hedging"

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"Managing client assets"

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"Measuring compliance with
internally established limits"

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"Measuring compliance with laws
and regulations (including consumer

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protection-related laws and regulations)"

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"Estimating the allowance for credit
losses (A C L) and capital adequacy"

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"Issuing public disclosures"

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"Preventing and detecting
fraud and money laundering"

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The expanded use of models reflects
their benefits: "Models can help

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increase automation, transparency,
and consistency of bank activities."

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However, the handbook notes that with
these benefits come costs: "There is

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the direct cost of devoting resources to
develop and implement models properly.

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There are also the potential indirect
costs of relying on models, such as the

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possible adverse consequences (including
financial loss) of decisions based on

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models that are incorrect or misused."

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The handbook points out that "the
expanded use of models combined with

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their increasing complexity and value in
decision making underscore the importance

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of sound model risk management."

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Technological Advances
and Model Complexity

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The guidance acknowledges that
"technological and analytical

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advances are contributing to
increased model complexity and use."

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It specifically mentions artificial
intelligence (A I), which is "broadly

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defined as the application of
computational tools to address tasks

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traditionally requiring human analysis."

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Examples of A I uses in banks include
"fraud detection and prevention,

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marketing, chatbots, credit
underwriting, credit and fair lending

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risk management, robo-advising (i.e.,

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an automated digital investment advisory
service), trading algorithms and

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automation, financial marketing analysis,
cybersecurity, Bank Secrecy Act/anti-money

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laundering (B S A/A M L) suspicious
activity monitoring and customer due

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diligence, robotic process automation, and
audit and independent risk management."

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The handbook notes that "some A I
may meet the definition of a model"

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while other A I outputs "are not
always quantitative in nature."

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Regardless of how A I is classified,
"the associated risk management should

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be commensurate with the level of risk
of the function that the A I supports."

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Risks Associated with the Use of Models

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The handbook identifies eight
categories of risk for bank supervision

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purposes: "credit, interest rate,
liquidity, price, operational,

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compliance, strategic, and reputation."

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It notes that "model use can affect
risk in all eight categories of

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risk" and that "the use of models
can increase or decrease risk in each

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risk category depending on the models'
purpose, use, and the effectiveness of

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any relevant model risk management."

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Model risk is defined as "the potential
for adverse consequences from decisions

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based on incorrect or misused model
outputs and reports" which "can lead

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to financial loss, poor business
and strategic decision making, or

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damage to a bank's reputation."

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The handbook explains that model risk
occurs primarily for two reasons:

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1.

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"The model may have fundamental
errors and may produce inaccurate

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outputs when viewed against the design
objective and intended business uses."

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2.

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"The model may be used
incorrectly or inappropriately.

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Even a fundamentally sound model
producing accurate outputs consistent

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with the design objective of the
model may exhibit high model risk

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if it is misapplied or misused."

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The guidance emphasizes that "banks
should identify the sources of risk

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and assess the magnitude" and that
"model risk increases with greater

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model complexity, higher uncertainty
about inputs and assumptions, broader

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use, and larger potential impact."

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Strategic Risk

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Strategic risk is defined as "the risk to
current or projected financial condition

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and resilience arising from adverse
business decisions, poor implementation

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of business decisions, or lack of
responsiveness to changes in the banking

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industry and operating environment."

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The handbook notes that "the board
of directors and senior management

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are the key decision makers that
drive the strategic direction of

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the bank and establish a governance
framework for using models."

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Strategic risk increases when "models
and associated risk management do not

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keep pace with strategic changes, the
capability of employees, the operating

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environment, and regulatory requirements."

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Operational Risk

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Operational risk is described as "the
risk to current or projected financial

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condition and resilience arising
from inadequate or failed internal

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processes or systems, human errors or
misconduct, or adverse external events."

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The guidance states that "operational
risk is the primary risk associated

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with the use of models" and can result
from "fundamental errors in a model when

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viewed against the design objective and
intended business uses without sufficient

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use of model overlays and adjustments
when model limitations become apparent."

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Operational risk can also increase when
"personnel who do not have sufficient

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skills and training to develop, implement,
use, and validate the bank's models."

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Reputation Risk

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Reputation risk is "the risk to
current or projected financial

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condition and resilience arising
from negative public opinion."

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The handbook notes that "inadequate
policies and processes, operational

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breakdowns, or other weaknesses in
any aspect of model risk management or

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governance can increase reputation risk."

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Specifically, "a bank could incur
reputation risk from biased data

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outcomes, data losses, noncompliance
with regulations, fraud, downtime, and

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insufficient consumer protections."

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Compliance Risk

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Compliance risk is described as "the
risk to current or projected financial

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condition and resilience arising from
violations of laws or regulations, or

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from nonconformance with prescribed
practices, internal bank policies and

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procedures, or ethical standards."

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The handbook states that "compliance
risk is elevated when banks do not

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comply with model-related laws and
regulations" and when "models result in

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potential discrimination on a prohibited
basis or other violations of consumer

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protection-related laws and regulations."

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It specifically mentions that "a bank's
fair lending compliance risk could

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increase when a bank's credit decisioning
models include algorithms, variables,

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or other processes that result in
disparate impact on credit applicants or

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customers based on prohibited factors,
such as race, ethnicity, or sex."

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Credit Risk

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Credit risk is defined as "the risk
to current or projected financial

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condition and resilience arising
from an obligor's failure to meet

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the terms of any contract with the
bank or otherwise perform as agreed."

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The handbook notes that "banks use models
to increase efficiency in all stages

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of lending" and that "if credit risk
models do not incorporate underwriting

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changes in a timely manner, flawed and
costly business decisions could occur."

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However, "models that are well-designed
and effectively managed can help

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management make prudent risk selection
and monitor and manage credit risk."

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Liquidity Risk

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Liquidity risk is "the risk to current
or projected financial condition and

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resilience arising from an inability to
meet obligations when they come due."

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The handbook states that "liquidity
risk can increase because of inaccurate

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or untimely inputs, assumptions,
model adjustments, and outputs."

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Examples of common sources of liquidity
risk in modeling include "unsupported

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or unreasonable contingent funding
assumptions; stress scenarios that

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do not consider all relevant legal or
regulatory constraints; and inaccurate

00:12:13.112 --> 00:12:15.222
or unsupported behavioral assumptions."

00:12:15.993 --> 00:12:17.023
Interest Rate Risk

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Interest rate risk is "the risk
to earnings or capital arising

00:12:21.518 --> 00:12:23.168
from movements in interest rates."

00:12:24.018 --> 00:12:27.988
The handbook notes that "interest rate
risk models depend on assumptions to

00:12:27.988 --> 00:12:33.358
accurately project cash flows from assets,
liabilities, and off-balance-sheet items."

00:12:34.189 --> 00:12:38.469
Common interest rate modeling issues
include "failing to assess potential

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exposures over a sufficiently wide range
of interest rate movements," "failing

00:12:42.979 --> 00:12:47.199
to modify or vary assumptions for
products with embedded options to reflect

00:12:47.199 --> 00:12:52.309
individual rate scenarios," and "failing
to periodically assess the reasonableness

00:12:52.339 --> 00:12:54.009
and accuracy of assumptions."

00:12:54.817 --> 00:12:55.567
Price Risk

00:12:56.339 --> 00:13:00.899
Price risk is defined as "the risk to
current or projected financial condition

00:13:00.899 --> 00:13:05.189
and resilience arising from changes in
the value of either trading portfolios

00:13:05.289 --> 00:13:09.019
or other obligations that are entered
into as part of distributing risk."

00:13:09.827 --> 00:13:14.027
The handbook states that "a bank incurs
heightened price risk when trading

00:13:14.027 --> 00:13:17.907
instruments with prices that are hard
to model," such as "instruments that

00:13:17.907 --> 00:13:22.267
are illiquid or trade infrequently,"
"newer instruments," and "instruments

00:13:22.267 --> 00:13:26.017
with fair value that depends on
accurately modeling human behavior."

00:13:26.799 --> 00:13:27.719
Risk Management

00:13:28.437 --> 00:13:33.457
The handbook emphasizes that "each bank
should identify, measure, monitor, and

00:13:33.457 --> 00:13:37.787
control risk by implementing an effective
risk management system appropriate for the

00:13:37.787 --> 00:13:40.187
size and complexity of its operations."

00:13:40.867 --> 00:13:44.687
It notes that "model risk should be
managed like other types of risk"

00:13:45.007 --> 00:13:48.677
and that "developing and maintaining
strong governance, policies,

00:13:48.737 --> 00:13:52.287
and controls over the model risk
management framework is fundamentally

00:13:52.287 --> 00:13:53.877
important to its effectiveness."

00:13:54.641 --> 00:13:59.011
The guidance advises that "the extent
and sophistication of a bank's governance

00:13:59.011 --> 00:14:03.591
function is expected to align with the
extent and sophistication of model usage"

00:14:04.071 --> 00:14:08.341
and that "materiality is an important
consideration in model risk management."

00:14:09.167 --> 00:14:13.557
The handbook states that "even with
skilled modeling and robust validation,

00:14:13.667 --> 00:14:17.157
model risk cannot be eliminated,
so other tools should be used to

00:14:17.157 --> 00:14:19.107
manage model risk effectively."

00:14:19.827 --> 00:14:24.097
These tools include "establishing
limits on model use, monitoring model

00:14:24.097 --> 00:14:29.457
performance, adjusting or revising models
over time, and supplementing model results

00:14:29.457 --> 00:14:31.507
with other analysis and information."

00:14:32.341 --> 00:14:32.941
Governance

00:14:33.563 --> 00:14:37.573
Sound governance includes "board
and management oversight, policies

00:14:37.573 --> 00:14:42.213
and procedures, a system of internal
controls, internal audit, a model

00:14:42.213 --> 00:14:44.143
inventory, and documentation."

00:14:44.983 --> 00:14:48.943
The handbook introduces the concept
of three lines of defense: "(1)

00:14:48.943 --> 00:14:53.283
frontline units, business units,
or functions that create risk; (2)

00:14:53.283 --> 00:14:58.043
independent risk management (I R M),
loan review, compliance officer, and

00:14:58.043 --> 00:15:01.813
chief credit officer to assess risk
independent of the units that create

00:15:01.813 --> 00:15:06.203
risk; and (3) internal audit, which
provides independent assurance."

00:15:06.960 --> 00:15:10.760
The guidance emphasizes the importance
of "effective challenge" described

00:15:10.760 --> 00:15:15.010
as "critical analysis by objective,
informed parties who can identify

00:15:15.010 --> 00:15:18.620
model limitations and assumptions
and produce appropriate changes."

00:15:19.340 --> 00:15:22.650
Effective challenge "depends
on a combination of incentives,

00:15:22.780 --> 00:15:24.350
competence, and influence."

00:15:25.129 --> 00:15:26.689
Board and Management Oversight

00:15:27.486 --> 00:15:31.386
The handbook states that "model risk
governance is provided at the highest

00:15:31.386 --> 00:15:35.746
level by the board of directors and senior
management when they establish a bank-wide

00:15:35.746 --> 00:15:37.686
approach to model risk management."

00:15:38.426 --> 00:15:42.296
The board is "responsible for setting
the tone at the top and overseeing

00:15:42.296 --> 00:15:46.126
management's role in fostering and
maintaining a sound corporate culture."

00:15:46.858 --> 00:15:50.438
Senior management is "responsible
for day-to-day implementation

00:15:50.438 --> 00:15:52.208
of sound model risk management."

00:15:53.068 --> 00:15:57.098
Their duties include "establishing
adequate policies and procedures and

00:15:57.098 --> 00:16:01.798
ensuring compliance, assigning competent
staff, overseeing model development

00:16:01.828 --> 00:16:06.498
and implementation, evaluating model
results, ensuring effective challenge,

00:16:06.628 --> 00:16:10.598
reviewing validation and internal
audit findings, and taking prompt

00:16:10.598 --> 00:16:12.478
remedial action when necessary."

00:16:13.274 --> 00:16:17.294
The handbook notes that "sound governance
encourages all key stakeholders to

00:16:17.294 --> 00:16:21.424
have effective communication, be
transparent, and actively participate

00:16:21.424 --> 00:16:25.674
in model risk management" and that
"appropriate change management before

00:16:25.704 --> 00:16:29.964
implementing or when changing models
and related technologies is an important

00:16:29.964 --> 00:16:31.674
component of model governance."

00:16:32.482 --> 00:16:32.982
Personnel

00:16:33.768 --> 00:16:37.678
The guidance emphasizes that "the bank
should have competent and qualified

00:16:37.678 --> 00:16:41.868
personnel to execute and oversee
model risk management" and that "the

00:16:41.868 --> 00:16:45.128
skills and expertise of management
and other personnel should be

00:16:45.128 --> 00:16:49.238
commensurate with the nature, extent,
and complexity of the use of models."

00:16:50.022 --> 00:16:53.602
The handbook suggests that
"well-thought-out personnel development,

00:16:53.702 --> 00:16:58.132
recruiting, succession planning, and
compensation processes promote successful

00:16:58.132 --> 00:17:02.182
hiring and retention of individuals
with highly technical skills for model

00:17:02.182 --> 00:17:06.622
development and for model risk management
across the three lines of defense."

00:17:07.345 --> 00:17:08.305
Model Owners

00:17:08.981 --> 00:17:13.351
Model owners are described as having
"ultimate accountability for model use

00:17:13.351 --> 00:17:17.311
and performance within the framework
set by bank policies and procedures."

00:17:18.051 --> 00:17:21.761
They should "ensure that models are
properly developed, implemented,

00:17:21.891 --> 00:17:25.611
and used" and "that models in
use have undergone appropriate

00:17:25.611 --> 00:17:27.791
validation and approval processes."

00:17:28.568 --> 00:17:32.998
Model owners are generally responsible
for implementing policies and standards,

00:17:33.158 --> 00:17:37.458
establishing and maintaining processes
for identifying and measuring risks,

00:17:37.718 --> 00:17:41.888
maintaining internal controls, and
maintaining documentation standards.

00:17:42.567 --> 00:17:44.447
Independent Risk Management Staff

00:17:45.189 --> 00:17:49.949
As the second line of defense, independent
risk management (I R M) "typically

00:17:49.989 --> 00:17:54.109
oversees business unit risk-taking
and risk management activities" and

00:17:54.239 --> 00:17:57.969
"validates and challenges business
unit testing and other first-line

00:17:57.969 --> 00:17:59.979
model risk management processes."

00:18:00.761 --> 00:18:05.001
I R M's responsibilities include
implementing policies and standards,

00:18:05.111 --> 00:18:09.661
establishing processes for identifying
and measuring risks, validating model

00:18:09.691 --> 00:18:14.711
inputs and outputs, confirming models are
performing as intended, assessing issues

00:18:14.711 --> 00:18:18.621
for themes or patterns, and reporting
to senior management and the board.

00:18:19.387 --> 00:18:20.277
Internal Audit

00:18:21.075 --> 00:18:25.375
As the third line of defense, internal
audit "reviews model governance

00:18:25.375 --> 00:18:28.965
and risk management and provide
independent assurance to the board on

00:18:28.965 --> 00:18:32.985
the effectiveness of governance, risk
management, and internal controls."

00:18:33.780 --> 00:18:37.550
The handbook states that internal
audit "should assess the overall

00:18:37.550 --> 00:18:41.120
effectiveness of the model risk
management framework, including the

00:18:41.120 --> 00:18:45.490
framework's ability to address both
types of model risk for individual models

00:18:45.630 --> 00:18:49.450
and in the aggregate" and "evaluate
whether model risk management is

00:18:49.450 --> 00:18:51.930
comprehensive, rigorous, and effective."

00:18:52.706 --> 00:18:57.216
Internal audit is typically responsible
for verifying acceptable policies are

00:18:57.216 --> 00:19:01.436
in place, documenting and reporting
findings, verifying records of model

00:19:01.436 --> 00:19:05.556
use and validation, assessing the
accuracy and completeness of the model

00:19:05.556 --> 00:19:10.016
inventory, evaluating processes for
establishing and monitoring limits,

00:19:10.266 --> 00:19:14.226
and evaluating the objectivity and
competence of validation participants.

00:19:14.942 --> 00:19:16.422
Policies and Procedures

00:19:17.132 --> 00:19:20.642
The guidance states that "consistent
with good business practices and

00:19:20.642 --> 00:19:24.862
existing supervisory expectations,
banks should formalize model risk

00:19:24.862 --> 00:19:28.672
management activities with policies
and the procedures to implement them."

00:19:29.422 --> 00:19:33.272
These policies should be "commensurate
with the bank's relative complexity,

00:19:33.422 --> 00:19:37.852
business activities, corporate culture,
and overall organizational structure"

00:19:38.262 --> 00:19:42.012
and should be approved by the board or
its delegates and reviewed annually.

00:19:42.805 --> 00:19:46.495
Policies and procedures regarding
model risk management may include

00:19:46.495 --> 00:19:50.055
descriptions of governance and
controls, definitions of models and

00:19:50.055 --> 00:19:54.625
model risk, acceptable practices for
model development and implementation,

00:19:54.735 --> 00:19:59.295
roles and responsibilities, standards
for model inventory, fair lending

00:19:59.295 --> 00:20:02.835
considerations, and controls
for model development and use.

00:20:03.513 --> 00:20:04.383
Risk Assessment

00:20:05.164 --> 00:20:09.274
The handbook explains that "assessing
risk includes identifying and

00:20:09.274 --> 00:20:13.274
measuring the sources and magnitude
of risks associated with model use."

00:20:14.034 --> 00:20:17.554
This is "particularly important
as a bank increases in size and

00:20:17.554 --> 00:20:22.124
complexity, the use of models becomes
more widespread, or model results

00:20:22.124 --> 00:20:24.374
significantly influence decision making."

00:20:25.209 --> 00:20:29.589
A sound model risk assessment process
generally "identifies risk both

00:20:29.589 --> 00:20:33.449
from individual models and models
in the aggregate," "identifies

00:20:33.449 --> 00:20:37.429
the model's capabilities and
limitations," and "measures the risks

00:20:37.429 --> 00:20:41.379
associated with model activities
accurately and in a timely manner."

00:20:42.215 --> 00:20:42.675
Planning

00:20:43.384 --> 00:20:47.024
The guidance states that "effective
governance for modeling begins with

00:20:47.024 --> 00:20:51.244
appropriate planning" and that "a
clear statement of purpose is typically

00:20:51.244 --> 00:20:54.694
the first step to developing models
aligned with the intended use."

00:20:55.466 --> 00:20:59.536
Key planning considerations include
identifying stakeholders, performing

00:20:59.536 --> 00:21:03.706
risk assessments, making informed
decisions about implementing new models,

00:21:03.936 --> 00:21:08.296
understanding the purpose and limitations
of models, integrating new technology

00:21:08.296 --> 00:21:12.256
with legacy systems, and ensuring
appropriate controls for monitoring

00:21:12.256 --> 00:21:14.236
outputs that may be discriminatory.

00:21:14.954 --> 00:21:16.044
Model Inventory

00:21:16.761 --> 00:21:20.551
The handbook advises that "banks
should maintain a comprehensive set

00:21:20.551 --> 00:21:24.301
of information for models implemented
for use, under development for

00:21:24.301 --> 00:21:28.831
implementation, or recently retired"
and that "a specific party should

00:21:28.831 --> 00:21:32.901
also be charged with maintaining a
firm-wide inventory of all models."

00:21:33.663 --> 00:21:36.893
A comprehensive model inventory
may include information such

00:21:36.893 --> 00:21:41.513
as model identifier, version,
ownership, status, purpose, inputs

00:21:41.513 --> 00:21:45.903
and outputs, risks, validation
activities, issues or limitations,

00:21:45.993 --> 00:21:47.703
and expected validity timeframe.

00:21:48.502 --> 00:21:49.402
Documentation

00:21:50.105 --> 00:21:53.775
The guidance emphasizes that
"without adequate documentation,

00:21:53.915 --> 00:21:56.915
model risk assessment and
management will be ineffective."

00:21:57.735 --> 00:22:01.875
Documentation should be "sufficiently
detailed so that parties unfamiliar

00:22:01.875 --> 00:22:05.815
with a model can understand how the
model operates, its limitations,

00:22:05.905 --> 00:22:07.165
and its key assumptions."

00:22:07.916 --> 00:22:12.326
Documentation benefits developers,
users, and risk management personnel,

00:22:12.636 --> 00:22:16.596
and should include information supporting
decisions related to model selection,

00:22:16.956 --> 00:22:21.886
testing, governance, development, internal
controls, and third-party risk management.

00:22:22.669 --> 00:22:23.569
Data Management

00:22:24.250 --> 00:22:28.610
The handbook states that "to measure
risk effectively, the data inputs for

00:22:28.610 --> 00:22:32.860
models should be reliable" and that
there should be "rigorous assessment

00:22:32.860 --> 00:22:36.370
of data quality and relevance,
and appropriate documentation."

00:22:37.131 --> 00:22:41.121
Sound data management includes
"providing reasonable and reconcilable

00:22:41.121 --> 00:22:45.401
support for qualitative factors,"
regularly analyzing "the integrity

00:22:45.401 --> 00:22:49.351
and applicability of internal and
external information sources and related

00:22:49.351 --> 00:22:53.921
controls," and appropriately handling
data proxies and third-party data.

00:22:54.646 --> 00:22:57.276
Model Development, Implementation, and Use

00:22:57.942 --> 00:23:02.442
The guidance emphasizes that "model
risk management begins with robust model

00:23:02.442 --> 00:23:07.082
development, implementation, and use"
and that the process "should include

00:23:07.082 --> 00:23:10.912
disciplined and knowledgeable development
and implementation processes that are

00:23:10.912 --> 00:23:15.362
consistent with the situation and goals
of the model user and with bank policy."

00:23:16.158 --> 00:23:18.188
Model Development and Implementation

00:23:18.911 --> 00:23:22.611
The handbook states that "an
effective development process begins

00:23:22.611 --> 00:23:25.881
with a clear statement of purpose
to ensure that model development

00:23:25.911 --> 00:23:27.671
is aligned with the intended use."

00:23:28.391 --> 00:23:32.881
It should include documentation of "the
design, theory, and logic underlying

00:23:32.881 --> 00:23:36.451
the model," explanation of "the
model methodologies and processing

00:23:36.451 --> 00:23:40.671
components," and comparison "with
alternative theories and approaches."

00:23:41.411 --> 00:23:45.291
The development process should produce
"documented evidence in support of

00:23:45.291 --> 00:23:49.261
all model choices, including the
overall theoretical construction,

00:23:49.381 --> 00:23:53.441
key assumptions, data, and specific
mathematical calculations."

00:23:54.194 --> 00:23:58.224
For third-party models, banks should
"ensure that there are appropriate

00:23:58.224 --> 00:24:03.164
processes in place for selecting vendor
models" and require vendors to "provide

00:24:03.164 --> 00:24:06.884
appropriate testing results that show
their product works as expected."

00:24:07.726 --> 00:24:08.276
Testing

00:24:08.958 --> 00:24:13.108
The guidance describes testing as "an
integral part of model development"

00:24:13.188 --> 00:24:17.288
that includes "checking the model's
accuracy, demonstrating that the model

00:24:17.288 --> 00:24:22.378
is robust and stable, assessing potential
limitations, and evaluating the model's

00:24:22.378 --> 00:24:24.958
behavior over a range of input values."

00:24:25.688 --> 00:24:30.098
Testing should be "applied to actual
circumstances under a variety of market

00:24:30.098 --> 00:24:34.078
conditions, including scenarios that
are outside the range of ordinary

00:24:34.078 --> 00:24:38.768
expectations," and should "encompass
the variety of products or applications

00:24:38.768 --> 00:24:40.438
for which the model is intended."

00:24:41.267 --> 00:24:42.397
Ongoing Development

00:24:43.116 --> 00:24:47.206
The handbook notes that "models are
regularly adjusted to take into account

00:24:47.206 --> 00:24:51.196
new data or techniques or because
of deterioration in performance."

00:24:51.896 --> 00:24:56.386
It advises that "material changes in
model structure or technique, and all

00:24:56.386 --> 00:25:00.596
model redevelopment, should be subject
to validation activities of appropriate

00:25:00.596 --> 00:25:02.736
range and rigor before implementation."

00:25:03.548 --> 00:25:04.408
Model Use

00:25:05.013 --> 00:25:09.303
The guidance states that "model use
provides additional opportunity to test

00:25:09.303 --> 00:25:13.793
whether a model is functioning effectively
and to assess its performance over time as

00:25:13.793 --> 00:25:16.263
conditions and model applications change."

00:25:17.083 --> 00:25:21.193
Model users can "provide valuable
business insight during the development

00:25:21.193 --> 00:25:25.673
process" and may "question the methods
or assumptions underlying the models."

00:25:26.508 --> 00:25:30.948
However, the handbook cautions that
"challenge from model users may be weak

00:25:30.988 --> 00:25:35.308
if the model does not materially affect
their results," and that user challenges

00:25:35.568 --> 00:25:39.728
"tend not to be comprehensive because they
focus on aspects of models that have the

00:25:39.728 --> 00:25:44.178
most direct impact on the user's measured
business performance or compensation."

00:25:44.961 --> 00:25:46.871
Model Overlays and Adjustments

00:25:47.552 --> 00:25:52.402
The guidance defines model overlays as
"judgmental or qualitative adjustments to

00:25:52.402 --> 00:25:57.592
model inputs or outputs to compensate for
model, data, or other known limitations."

00:25:58.342 --> 00:26:02.122
It advises that "sound model risk
management includes policies and

00:26:02.122 --> 00:26:06.272
processes regarding the review,
approval, use, and back-testing of

00:26:06.272 --> 00:26:08.182
model overlays and adjustments."

00:26:08.951 --> 00:26:13.191
The handbook emphasizes that "model
overlays and adjustments should not be

00:26:13.191 --> 00:26:16.761
viewed as a solution that dissuades the
bank from making improvements to the

00:26:16.761 --> 00:26:21.961
model" and that banks "typically have a
process to monitor and analyze overlays

00:26:21.961 --> 00:26:25.951
and adjustments over time and address
underlying limitations and issues."

00:26:26.736 --> 00:26:27.376
Reporting

00:26:28.047 --> 00:26:32.077
The guidance states that "reports used
for business decision making play a

00:26:32.077 --> 00:26:36.787
critical role in model risk management"
and should "be clear and comprehensible."

00:26:37.587 --> 00:26:41.077
Effective reporting "enables
senior management and the board to

00:26:41.077 --> 00:26:42.947
understand the bank's model risk."

00:26:43.767 --> 00:26:48.317
Reports presented to the board "typically
highlight performance measures, trends,

00:26:48.387 --> 00:26:52.717
and variances, rather than presenting
the information as raw data" and may

00:26:52.717 --> 00:26:57.157
include measures on "the volume of
models considered high risk," "models

00:26:57.157 --> 00:27:01.957
with temporary exemptions or provisional
approvals," and "underperforming models."

00:27:02.716 --> 00:27:03.826
Model Validation

00:27:04.541 --> 00:27:09.141
The handbook describes model validation
as "the set of processes and activities

00:27:09.141 --> 00:27:13.421
intended to verify that models are
performing as expected, in line with their

00:27:13.421 --> 00:27:15.551
design objectives and business uses."

00:27:16.301 --> 00:27:20.331
It states that "effective validation
helps ensure that models are sound"

00:27:20.781 --> 00:27:24.471
and "also identifies potential
limitations and assumptions, and

00:27:24.471 --> 00:27:26.311
assesses their possible impact."

00:27:27.107 --> 00:27:32.297
The guidance emphasizes that "all model
components, including input, processing,

00:27:32.357 --> 00:27:36.407
and reporting, should be subject to
validation" and that "the rigor and

00:27:36.407 --> 00:27:39.967
sophistication of validation should be
commensurate with the bank's overall

00:27:39.967 --> 00:27:44.747
use of models, the complexity and
materiality of its models, and the size

00:27:44.747 --> 00:27:46.917
and complexity of the bank's operations."

00:27:47.665 --> 00:27:51.365
An effective validation framework
should include three core elements:

00:27:52.126 --> 00:27:52.456
1.

00:27:53.476 --> 00:27:57.696
"Evaluation of conceptual soundness,
including developmental evidence"

00:27:58.370 --> 00:27:58.690
2.

00:27:59.770 --> 00:28:03.740
"Ongoing monitoring, including
process verification and benchmarking"

00:28:04.532 --> 00:28:04.952
3.

00:28:05.922 --> 00:28:08.492
"Outcomes analysis,
including back-testing"

00:28:09.300 --> 00:28:11.460
Evaluation of Conceptual Soundness

00:28:12.154 --> 00:28:16.204
The handbook describes this element
as "assessing the quality of the model

00:28:16.204 --> 00:28:20.834
design and construction" which "involves
review of documentation and empirical

00:28:20.864 --> 00:28:24.874
evidence supporting the methods used
and variables selected for the model."

00:28:25.680 --> 00:28:29.490
Evaluation of conceptual soundness
generally includes assessing whether

00:28:29.490 --> 00:28:32.940
the model achieves its intended
purpose, comparing alternative

00:28:32.940 --> 00:28:37.630
theories and approaches, analyzing key
assumptions and variables, evaluating

00:28:37.630 --> 00:28:41.860
data relevance, and conducting
sensitivity analysis and stress testing.

00:28:42.617 --> 00:28:43.757
Ongoing Monitoring

00:28:44.476 --> 00:28:48.696
The guidance describes ongoing monitoring
as confirming "that the model is

00:28:48.696 --> 00:28:52.856
appropriately implemented and is being
used and is performing as intended."

00:28:53.696 --> 00:28:57.796
It is "essential to evaluate whether
changes in products, exposures,

00:28:57.886 --> 00:29:02.626
activities, clients, or market conditions
necessitate adjustment, redevelopment,

00:29:02.796 --> 00:29:04.126
or replacement of the model."

00:29:04.963 --> 00:29:08.593
Ongoing monitoring typically includes
assessment of adherence to risk

00:29:08.643 --> 00:29:13.503
appetite and internal limits, analysis
of overrides, sensitivity analysis,

00:29:13.643 --> 00:29:18.463
review of risk measurements, escalation
processes, timely system updates, and

00:29:18.463 --> 00:29:20.543
process verification and benchmarking.

00:29:21.468 --> 00:29:22.718
Process Verification

00:29:23.474 --> 00:29:27.574
The handbook describes process
verification as checking "that all model

00:29:27.574 --> 00:29:29.634
components are functioning as designed."

00:29:30.484 --> 00:29:34.734
This includes "verifying that internal
and external data inputs continue

00:29:34.734 --> 00:29:39.094
to be accurate, complete, consistent
with model purpose and design, and

00:29:39.094 --> 00:29:40.784
of the highest quality available."

00:29:41.636 --> 00:29:45.846
Process verification typically includes
confirming inputs are processed as

00:29:45.846 --> 00:29:51.016
expected, reviewing reports derived from
model outputs, and verifying that computer

00:29:51.016 --> 00:29:55.606
code implementing the model is subject
to quality and change control procedures.

00:29:56.359 --> 00:29:56.969
Benchmarking

00:29:57.735 --> 00:30:02.345
The guidance defines benchmarking as "the
comparison of a given model's inputs and

00:30:02.375 --> 00:30:06.895
outputs to estimates from alternative
internal or external data or models."

00:30:07.645 --> 00:30:11.515
It notes that "discrepancies between
the model output and benchmarks should

00:30:11.515 --> 00:30:15.075
trigger investigation into the sources
and degree of the differences."

00:30:15.865 --> 00:30:17.095
Outcomes Analysis

00:30:17.786 --> 00:30:21.806
The handbook describes outcomes
analysis as "a comparison of model

00:30:21.846 --> 00:30:25.746
outputs to corresponding actual
outcomes" which "helps to evaluate

00:30:25.746 --> 00:30:29.796
model performance, by establishing
expected ranges for those actual

00:30:29.826 --> 00:30:33.756
outcomes in relation to the intended
objectives and assessing the reasons

00:30:33.756 --> 00:30:35.816
for observed variation between the two."

00:30:36.650 --> 00:30:40.230
Outcomes analysis approaches may
vary depending on the characteristics

00:30:40.230 --> 00:30:43.640
and objectives of a model, and
may include both quantitative

00:30:43.670 --> 00:30:45.110
and qualitative techniques.

00:30:45.760 --> 00:30:49.720
The guidance notes that "models are
regularly adjusted to take into account

00:30:49.720 --> 00:30:54.310
new data or techniques, or because
of deterioration in performance" and

00:30:54.310 --> 00:30:58.880
that "parallel outcomes analysis" is
an important test of such adjustments.

00:30:59.598 --> 00:31:00.298
Back-Testing

00:31:01.044 --> 00:31:05.874
The guidance defines back-testing as "a
form of outcomes analysis that involves

00:31:05.874 --> 00:31:09.964
the comparison of actual outcomes with
model forecasts during a sample time

00:31:09.964 --> 00:31:14.284
period not used in model development,
and at an observation frequency

00:31:14.284 --> 00:31:18.014
that matches the forecast horizon
or performance window of the model."

00:31:18.785 --> 00:31:23.125
The handbook notes that "analysis of
the results of even high-quality and

00:31:23.125 --> 00:31:27.525
well-designed back-testing can pose
challenges" and that "models with long

00:31:27.525 --> 00:31:31.515
forecast horizons should be back-tested,
but given the amount of time it would

00:31:31.515 --> 00:31:35.585
take to accumulate the necessary data,
that testing should be supplemented

00:31:35.585 --> 00:31:37.885
by evaluation over shorter periods."

00:31:38.676 --> 00:31:40.096
Third-Party Risk Management

00:31:40.890 --> 00:31:44.970
The guidance states that "banks may
benefit from third-party relationships

00:31:44.970 --> 00:31:49.220
by gaining operational efficiencies or
improving the banks' competitive edge."

00:31:49.910 --> 00:31:54.110
However, "a bank's use of third parties
does not diminish the responsibility

00:31:54.110 --> 00:31:57.260
of the bank's board and senior
management to ensure that the bank

00:31:57.320 --> 00:31:59.330
operates in a safe and sound manner."

00:32:00.128 --> 00:32:04.208
The handbook advises that "third-party
models should be incorporated into the

00:32:04.208 --> 00:32:09.188
bank's third-party risk management and
model risk management processes" and that

00:32:09.348 --> 00:32:12.838
"management should conduct appropriate
due diligence on the third-party

00:32:12.838 --> 00:32:14.998
relationship and on the model itself."

00:32:15.838 --> 00:32:17.368
Third-Party Models and Data

00:32:18.111 --> 00:32:21.771
The guidance states that "the widespread
use of vendor and other third-party

00:32:21.771 --> 00:32:26.501
productsâincluding data, parameter
values, and complete modelsâposes

00:32:26.501 --> 00:32:30.761
unique challenges for validation and
other model risk management activities

00:32:30.951 --> 00:32:34.931
because the modeling expertise is
external to the user and because some

00:32:34.931 --> 00:32:37.091
components are considered proprietary."

00:32:37.915 --> 00:32:41.965
When a bank uses a third-party model,
it should obtain information from the

00:32:41.965 --> 00:32:45.825
third party including developmental
evidence, information about data

00:32:45.825 --> 00:32:50.105
used, testing results, documentation
of limitations and assumptions,

00:32:50.255 --> 00:32:51.985
and implementation instructions.

00:32:52.666 --> 00:32:56.086
Engaging Third Parties for
Model Risk Management Activities

00:32:56.763 --> 00:33:00.473
The handbook notes that "although
model risk management is an internal

00:33:00.473 --> 00:33:05.213
process, a bank may decide to engage
external resources to help execute

00:33:05.213 --> 00:33:08.733
certain activities related to the
model risk management framework."

00:33:09.533 --> 00:33:13.813
These activities could include "model
validation and review, compliance

00:33:13.813 --> 00:33:17.243
functions, or other activities
in support of internal audit."

00:33:18.120 --> 00:33:22.110
Banks should "specify the activities
to be conducted in a clearly written

00:33:22.110 --> 00:33:26.230
and agreed-upon scope of work"
and designate an internal party to

00:33:26.510 --> 00:33:30.850
"understand and evaluate the results of
validation and risk control activities

00:33:30.850 --> 00:33:32.880
conducted by external resources."

00:33:33.616 --> 00:33:34.396
IT Systems

00:33:35.062 --> 00:33:38.052
The guidance states that "banks
should have appropriate risk

00:33:38.052 --> 00:33:42.062
management to maintain adequate IT
systems that result in appropriate

00:33:42.092 --> 00:33:43.752
and accurate model outputs."

00:33:44.472 --> 00:33:48.572
It emphasizes that "sound model risk
management depends on substantial

00:33:48.572 --> 00:33:52.642
investment in supporting systems to
ensure data and reporting integrity,

00:33:52.822 --> 00:33:54.692
together with controls and testing."

00:33:55.496 --> 00:33:59.016
The handbook advises that "the IT
environment supporting the bank's

00:33:59.016 --> 00:34:02.386
models has appropriate controls
before model implementation."

00:34:03.216 --> 00:34:07.986
This includes controls for "the access,
authentication, transmission, and storage

00:34:07.986 --> 00:34:12.546
of sensitive customer information" and
appropriate "security controls related to

00:34:12.546 --> 00:34:17.626
how the bank and any third parties access,
transfer, share, and store information."

00:34:18.417 --> 00:34:21.777
This concludes our comprehensive
summary with direct quotes from the

00:34:21.817 --> 00:34:24.017
OCC Handbook on Model Risk Management.

00:34:24.781 --> 00:34:29.031
If your Credit union could use assistance
with your exam, reach out to Mark Treichel

00:34:29.031 --> 00:34:31.681
on LinkedIn, or at mark Treichel dot com.

00:34:32.271 --> 00:34:34.891
This is Samantha Shares and
we Thank you for listening.