Vice President, Model Development II

The Model Development II will contribute to highly visible enterprise-wide modeling programs, dedicated to a specific area of the business. The models make estimates that are a key input to management decisions and are reported to Senior Management and the Board of Directors on a regular basis. The role will be to execute corporate-wide standards for model development. The incumbent will be responsible for leading work to develop and maintain credit risk models (PD, LGD and EAD risk parameters) used in capital planning, reserve estimation and regulatory capital purposes. 

In this role, you’ll make an impact in the following ways: 

• Responsible for the technical direction, accuracy and soundness of quantitative methods in the assigned area.  
• Decisions and assumptions recommended by the incumbent have significant impact on the financial and risk position of the Bank or legal entity supported. 

To be successful in this role, we’re seeking the following: 

• Master's Degree/PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, economics. The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.
• Minimum 2 years (2 - 5 preferred) of modeling experience in financial services. Must have experience with complex quantitative modeling, numerical analysis, and computational methods using programming languages (such as R or Python) as well as mathematical/statistical software packages. 
• Must be extremely focused, detail oriented, results oriented and highly productive. Must have a proven track record of being able to efficiently and effectively conduct independent research, analyze problems, formulate and implement solutions, and produce quality results on time.   The candidate must have excellent scientific and technical documentation and presentation skills, assertiveness & influencing skills, and the skills to explain abstract theoretical concepts to a non-expert audience in easy-to-understand language.
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