Vice President, Model Risk Management II

The Senior Specialist (Model Risk Senior Analyst) will contribute to highly visible enterprise-wide model development function in the organization.

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 enterprise standards for model validation. The incumbent will be responsible for leading work to identify and evaluate model risk as well as propose controls to manage that risk.

This will entail investigating the weaknesses of a framework and setting the scope and designing tests for a validation effort, appropriate to that framework.

The incumbent may work in one of five disciplines, each responsible for a different type of modeling : ) Credit Risk Modeling) Treasury Modeling) Market Risk Modeling) Pricing Modeling) Forecasting Execute enterprise standards for model validation, by setting the scope of a validation effort.

This entails designing the tests and review activities necessary to evaluate a model. Responsible for evaluating the strengths and weaknesses of a model's conceptual framework to identify situations where a model may become less useful.

Reviews accuracy of reports and calculations performed by less experienced colleagues. The incumbent will be responsible for reviewing the risks identified by more junior analysts and formulating the proposed controls into a plan of action for management.

No direct reports,, provides guidance to more junior analysts. 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.

Modified based upon local regulations / requirements. Master's Degree / PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics.

The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.

Minimum years ( - preferred) of modeling experience in financial services. Must have experience with complex quantitative modeling, numerical analysis, and computational methods using programming languages (such as C / C++, C, Java, FORTRAN, MATLAB, SAS) 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..