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At Simmons Bank, the Financial Econometric Modeler builds and documents the risk models used to quantify and manage the company's credit, interest rate, liquidity, operational, market, regulatory, and reputational risks on an actual and pro-forma basis. The risk modeling and the resulting risk quantification will be used to influence strategic decisions by Executive Management and the Board of Directors, and drive compliance with regulatory guidance related to stress testing and capital management for financial institutions. The Financial Econometric Modeler will develop the tools used to quantify credit risk, provide early identification of trends in compliance activities, and support other areas of the Company in which predictive or analytical models can be employed to improve business performance.
Line of Reporting
The Financial Econometric Modeler position will report directly to the Director of Quantitative Analytics.
Specific job duties will range across several initiatives that include but may not be limited to:
Providing technical knowledge and advice to the Director of Quantitative Analytics and Senior Bank Management related to quantitative econometric analysis, economic capital, and stress testing.
Developing and documenting the models needed to perform stress analyses in accordance with regulatory requirements for midsized and regional banks that may apply now and in the future.
Periodically evaluating and enhancing the models to maintain their relevance and ensure compliance with current regulatory requirements.
Developing, documenting, and maintaining quantitative tools and models used to, among other things,
Measure risks to earnings and capital inherent in the Company's current position and business plans/forecast;
Assess economic capital and ensure that risks taken are adequately compensated;
Measure and analyze the liquidity effects of government suggested and idiosyncratic scenarios;
Quantify the probability of default and loss given default to be used in the credit review process and in the calculation of the allowance for credit losses; and
Optimize product and services pricing.
Guiding and critically evaluating the efforts of consultants and vendors engaged to develop and document models to be used or in use in the production environment.
Serving as an expert resource in the fields of risk quantification and modeling in support of and working closely with both internal and external stakeholders, including business and risk professionals and regulatory authorities.
Collaborating with business units to identify the relevant asset-liability management data used in analyses and modeling and to ensure that it is collected and retained.
Developing, enhancing, implementing, documenting and providing ongoing expert support for the practical applications of analytics, financial economics, and quantitative methods in support of management business decision making, risk management, capital allocation and optimal resource allocation.
Participating in and providing information for discussions with regulators, independent public accountants, and consultants on current quantitative processes, related outputs and analyses, and management determined model inputs.
Converting data from different sources into meaningful business intelligence to enhance decisions and financial performance.
Performing ad hoc analyses as requested by the Director of Quantitative Analytics.
Making recommendations for enhancing resource allocation and financial performances.
Communicating results of work and recommendations for improvements or enhancements effectively to all levels of management.
Performing other duties as may be required.
The subject job requires the following educational experience at a minimum:
Preferred Related Work or Research Experience
The subject job does not require, but it is preferred, that a candidate will have the following job experience:
Experience working with/in a financial institution in excess of $15 billion in total consolidated assets and exposure to the financial and econometric model development processes, program development, and related governance;
Experience with SAS, R, Python, or other statistical software
Required Skills and Competencies
The subject job requires the following skills at a minimum:
Excellent oral and written communications skills including the ability to articulate complex theories, concepts, methodology and findings in a non-technical fashion and to non-technical audiences.
Strong understanding of general business principles.
Ability to design and apply complex financial and economic models and quantitative tools to solve business problems.
Understanding of bank operations, including finance and treasury, credit, deposits and funding, sales, support operations, trust and asset management, and regulatory compliance.
Excellent quantitative, analytical, and technical skills, including hands-on, practical experience with several of the following techniques:
Linear and non-linear regression;
Maximum likelihood estimation;
Time series estimation and forecasting;
Panel data analysis;
Limited dependent and qualitative variable models;
Interest rate modeling/derivative pricing;
Strong interpersonal skills with the ability to work effectively in a team environment and to build cross-functional relationships.
Superior problem-solving skills.
Ability to interact with a variety of management levels and to easily shift between a detailed and a big picture focus.
Equal Employment Opportunity Information: Simmons First National Corporation and its subsidiaries are committed to a policy of equal employment with respect to a person's race, color, religion, sex, ancestry, sexual orientation, gender identity, national origin, covered veterans, military status, physical or mental disability or any other legally protected classifications. Simmons First National Corporation and its subsidiaries are committed to Affirmative Action Programs consisting of results-oriented procedures to ensure equal employment opportunities. These programs require positive action in lieu of neutral non-discrimination and merit hiring/performance policies.