AVP, Model Development

Bank OZK•Dallas, TX

About The Position

The AVP, Model Development is responsible for building, documenting, maintaining, and supporting models that quantify and manage the company’s credit, interest rate, liquidity, operational, market, regulatory, and reputational risks on an actual and pro-forma basis. These models and their results inform strategic decisions by executive management and the board of directors, support compliance with regulatory directives, and help improve business performance through predictive and analytical modeling. The role develops quantitative tools for stress analysis under applicable regulatory frameworks and for evaluating risks to earnings and capital, economic capital, liquidity, loan prepayments, deposit decay, credit loss measures, product and service pricing, regulatory compliance, and Community Reinvestment Act performance. It applies analytics, financial economics, and quantitative methods to business decision-making, risk management, capital allocation, and resource allocation. The position also works with internal and external stakeholders, leads or supports model implementation and remediation, translates data into business intelligence, and communicates findings and recommendations to management.

Requirements

Master’s degree in mathematics, finance, economics, or a related field, or commensurate work experience.
At least three years of increasingly responsible experience in financial and/or business analysis.
Prior experience with standard modeling and data extraction tools, such as SAS or R, and VBA.
Knowledge of general business principles.
Knowledge of several quantitative techniques, including linear and non-linear regression, maximum likelihood estimation, time series estimation and forecasting, panel data analysis, limited dependent and qualitative variable models, optimization, simulation, interest rate modeling or derivative pricing, data mining, and survival analysis.
Ability to communicate effectively verbally and in writing, including articulating complex theories, concepts, methodology, and findings to non-technical audiences.
Effective quantitative, analytical, technical, interpersonal, and problem-solving skills.
Ability to work in a team environment and build cross-functional relationships.
Ability to produce high-quality documents, presentations, and analyses, and interact with a variety of organizational levels.
Skill using computers and Microsoft Office, including Word, Excel, Access, PowerPoint, and Outlook.
Ability to operate customary equipment and technology used in a business environment, with or without accommodation.

Nice To Haves

PhD or other advanced degree or training.
Experience directly related to financial services modeling or model validation at a DFAST/CCAR institution.

Responsibilities

Develop and document models for regulatory stress analysis, including DFAST, Basel III, CCAR protocols, and other applicable federal regulations for large banks.
Develop, document, and maintain quantitative tools and models to measure risks to earnings and capital inherent in the company’s current position and business plans or forecasts.
Assess economic capital and help ensure that risks taken are adequately compensated.
Measure and analyze liquidity effects under government-mandated and idiosyncratic scenarios.
Analyze asset prepayment speeds and deposit decay rates.
Quantify Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) for credit review and allowance for loan and lease losses calculations.
Optimize product and service pricing.
Analyze and predict compliance with high-risk laws and regulations, including those under the Consumer Financial Protection Bureau, and performance under the Community Reinvestment Act.
Develop expertise in risk quantification and modeling while working with internal and external stakeholders, including business and risk professionals and regulatory authorities.
Collaborate with business units to identify relevant asset-liability management data and ensure that it is collected and retained.
Develop, enhance, implement, document, and provide ongoing expert support for analytical, financial economics, and quantitative methods used in management decision-making, risk management, capital allocation, and resource allocation.
Lead model implementation planning and execution and collaborate with stakeholders on implementation.
Lead and/or assist with model remediation.
Convert data from different sources into meaningful business intelligence to improve decisions and financial performance.
Perform ad hoc analyses as requested by management.
Recommend ways to enhance resource allocation and financial performance.
Communicate work results and recommendations for improvements or enhancements effectively to all levels of management.
May collaborate with management to identify, recruit, select, and manage a team of analysts and modelers.
Perform other duties as required.