Model Risk Management | Protiviti - United States

Model Risk Management

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Model risk represents the potential that a financial institution may experience adverse consequences based on a decision reached by using a model. It may originate due to fundamental model errors or due to incorrect or inappropriate use of an otherwise sound model. An organization’s exposure to model risk varies given its unique mix of business activities and level of model usage; greater complexity and broader use indicate higher risk.

The Importance of Addressing Model Risk

Our management and boards of directors understand the value – and limitations – of their models so they can make confident business decisions, advance business strategies and achieve regulatory compliance.

Models are simplified and idealized representations of the real world and are prone to errors in some cases. Further, because models are driven by assumptions and finite data inputs and then interpreted by people, model risk is inescapable. The use and reliance on quantitative models creates the need to consider the degree to which model risks are understood, monitored and managed. Regulators mandate model validation under such pronouncements as OCC 2011-12/FRB SR 11-7 and comparable regulatory guidance. Other stakeholders, such as auditors, investors and rating agencies, are also demanding improved governance over the ever-expanding inventory of quantitative models.

How Protiviti Can Help

Protiviti provides a full spectrum of services to financial service industry and insurance clients through value-added capabilities needed to support business strategies and continuously improve operational performance while effectively managing risk. Our practice includes specialists in specific risks and processes that are important to the financial services industry. Working together, the people, processes, technologies and knowledge sharing we provide help our clients improve their operations to face the future with confidence.

Our Model Risk team brings Ph.D.-level “quant” experience to developing and validating all types of quantitative models, including asset-liability management, credit risk, economic capital, market risk, pricing and operational risk models. We also validate AML transaction monitoring systems and Fraud models. Our independent, holistic validation process helps control model risk, prevents losses associated with model risk and enhances key stakeholders' understanding of models. We also help organizations manage their portfolio of model risks by assessing, designing and implementing model governance programs.

We can develop customized quantitative models, refine and calibrate existing models, and design stress testing and scenario analysis programs to supplement existing analytics. Our model risk experts can help with the following:

  • Quantitative models provide useful information for management decisions and offer increased efficiency.
  • Financial institutions rely on models to synthesize large amounts of complex data into a more simplified format for management’s evaluation and analysis.
  • Models help management in decision making, allocation of capital, and to monitor risks across a broad range of activities.
  • Use of models exposes organizations to model risk and creates the need for effective model governance.
  • Financial accounting standards are increasingly requiring reporting based on values derived through use of models.

Our areas of expertise:

Model Risk Governance Framework

Model teams are facing increased efforts to move faster and perform more efficiently to deliver and support projects and programs. They need high-quality frameworks, policies and procedures that meet regulatory standards and pass regulatory scrutiny. We can help you assess, perform gap analysis and roadmap development in these model-related areas.
 

Model Development 

Building a successful model that allows you to make confident business decisions, advance business strategies and achieve regulatory compliance can be a complex process. Our team has developed models to address a wide range of financial issues including credit risk, operational risk, market risk, and stress testing and forecasting.

Model Validations 

Proper model validation is a must to mitigate model risk. Independent model validations play a key role in assurance that model risk is properly understood and well-managed. We have performed validations for numerous banking institutions and have validation models for multiple lines of business.
 

Model Audit Support 

Today’s Internal Audit teams are facing the challenge of tracking more and more quantitative areas. Our highly qualified experts can provide your Internal Audit teams with in-depth support in areas such as data selection and processing, the model conceptual soundness review and performance testing, reporting and model use, and other complex areas.
 

CCAR / DFAST Compliance 

Undergoing a CCAR & DFAST review can be a rigorous process. Our experts have performed a large number of model validations and model developments for just this scenario. Our expertise spans all relevant business units and purposes, including models used to project credit losses, revenues, income, allowance, risk-weighted assets and more.
 

Current Expected Credit Loss (CECL)/IFRS9

The CECL (IFRS9 internationally) requires lending institutions to provide investors with better information by timely recording and reporting the full amount of credit losses that are expected in their loan portfolios. We will work side-by-side with you to evaluate your internal resources, portfolio size and complexity to determine the right modeling methodology.

Fundamental Review of the Trading Book (FRTB)

FRTB will have an impact on every facet of your organization as the new requirements, due to be implemented by 2019, will substantially change both your operating and business models. Financial institutions should currently be making plans to deal with what could come to be viewed as the most complicated set of requirements the industry has seen since the financial crisis.

AML Model Risk Management

As greater regulatory scrutiny drives more organizations to adopt quantitative models, financial institutions are determining whether their current AML models are delivering desired results. Our focus is on ensuring clients’ realize the ROI in developing & administering a model strategy that seamlessly integrates with their broader AML programs.