Jason Kunkel, Cfa, Cbe, Frm Email and Phone Number

• Formed and manage the Model Governance team that oversees the global model risk management and attribute governance frameworks• Drafted policies and procedures establishing the global model risk management and attribute governance frameworks including documentation, validation, and implementation requirements• Led efforts to optimize process efficiency and accuracy including projects to automate model documentation creation and model and attribute monitoring• Developed a model fairness testing framework to manage and mitigate disparate impact and treatment risks and ensure models do not adversely impact protected class members• Represent model risk in the development and deployment of an AI governance framework• Managed the development and deployment of a new tool to manage the model and attribute inventory • Oversee client support ensuring TU models and attributes pass internal and regulatory review processes

• Managed the development and deployment of a new tool to manage the model and spreadsheet inventory including the facilitation of performance monitoring, validation, and inventory attestation• Manage the team responsible for MRM inventory management, model and spreadsheet issues management, and performance monitoring administration• Manage the development and maintenance of the MRM analytics dashboard in Power BI• Serve as the MRM representative for the LIBOR transition

• Review model developer documentation to ensure sufficient for model validation• Validate models to ensure results meet internal and regulatory standards for effective challenge• Developed model development, implementation, and use documentation guidelines for model developers to utilize in creating model documentation consistent with SR 11-7 guidance on model risk management• Developed model analysis guidance for model developers to reference in employing and documenting tests for specific data and model types and model uses• Validated enhanced qualified analytical tools for appropriate use of data, consideration of assumptions and implementation of modeling methodology

• Managed projects that use income and market-based approaches to estimate the enterprise value of privately held companies• Managed projects that allocate a purchase price to acquired assets of a company in a business combination or impairment analysis for financial reporting purposes• Developed standardized models to value intangible assets including patents, customer relationships, assembled workforce, etc., calculate equity and equity volatility, simulate asset prices, and value options• Presented to internal and external audiences on valuation concepts, regression analysis, and the macroeconomy• Proposed valuation engagements to prospective clients, create proposals including budget development, and present engagement results to key client members• Coauthored article entitled “Signs You Are Misapplying Black-Scholes” discussing when it is appropriate to use a Black-Scholes model versus other models

• Redeveloped the Real Estate Investment Trust/Real Estate Operating Company probability of default model/scorecard for Basel purposes• Maintain and improve the engine in SAS used to estimate CCAR-related variables for the commercial business lines• Maintain and improve the tool relationship managers use to calculate economic profit for prospective debt, lease, deposit, and fee-based product deals; developed user input checks to ensure inputs fell within a reasonable range based upon statistical analysis; • Work with multiple business units within the bank to update specific components of the economic profit calculation such as costs, net interest income, and expected loss to ensure accurate assumptions and appropriate application in the economic profit tool• Developed challenger regression models for multiple commercial lines for use in the CCAR process• Developed a tool in SAS to run multiple CCAR-related economic scenarios to estimate reserves for multiple small business portfolio segments• Developed a presentation for various levels and business units within the bank to describe the basics of modeling and the importance of the Analytics and Portfolio Management Group

MANAGER• Managed projects that utilized Black-Scholes and Binomial Option Pricing Models to value employee stock options, convertible debt, contingent considerations, and interest rate collars and to allocate business enterprise value to stock classes• Managed projects that employed models such as Black-Derman-Toy and Black-Karasinski to describe the future evolution of interest rates to value interest rate derivatives such as put or call options embedded in debt instruments • Managed workflow and developed models for projects using the Monte Carlo method to simulate stock prices, revenue, and earnings for valuation of market-based stock awards and contingent considerations • Implemented or audited regression techniques employed in predictive models or for other purposes• Developed sampling approaches for projects that implement techniques to sample data for use in future analysis and asset valuation• Developed excel-based models to calculate volatility, value interest rate swaps and convertible debt, and simulate future asset prices• Managed projects that use discounted cash flow models to value corporate debt instruments; employed standard industry practices such as credit rating and comparable debt analysis to estimate a credit spread for use in the discount rate• Managed projects that use income and market-based approaches to estimate the enterprise value of private companiesSENIOR ASSOCIATE• Utilized Black-Scholes and Binomial Option Pricing Models to value employee stock options, convertible debt, and interest rate collars and to allocate business enterprise value to stock classes• Valued complex financial instruments such as interest rate swaps and debt instruments for tax and financial reporting purposes • Used Monte Carlo method to simulate stock price paths for valuation of market-based stock awards and expected term calculations• Reviewed the reasonableness of cash-flow models developed by government agencies for credit subsidy calculations

• Produced and managed state and metropolitan area forecast databases for use by clients in planning and investment decisions; developed and implemented diagnostics to ensure quality of forecasts; provided client support for all inquiries regarding forecast databases; tested and implemented new specifications to improve models’ predictive power • Forecasted economic indicators and provided economic analysis for state and metro area publications• Managed multiple client deliveries, that involved providing custom forecasts and analysis• Worked within teams on projects that provided custom analysis and indicators for clients, including indexes and regional economic indicator forecasts• Provided real time economic analysis for financial markets prior to market open

• Developed leading indexes and recession probability models to assist companies in predicting sales• Generated economic impact models, utilizing IMPLAN Professional, to determine the aggregate value of a specific shock to a region• Wrote reports analyzing the economic health of a locality based on factors such as employment, retail sales, and business activity• Composed and distributed a weekly report to clients evaluating the health of the U.S. economy centered on the release of economic data and financial market performance• Maintained extensive datasets of economic variables and utilized techniques to modify data for future analysis