Vice President, Model Risk Management II

The Bank of New York Mellon seeks a Vice President, Model Risk Management II for its Pittsburgh, PA location.

DUTIES:Contribute to highly visible enterprise-wide model development function in the organization. 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. Execute enterprise standards for model validation.Responsible for leading work to identify and evaluate model risk as well as proposed controls to manage that risk. Investigate the weaknesses of a framework and setting the scope and designing tests for a validation effort, appropriate to that framework. May work in one of five disciplines, each responsible for a different type of modeling: 1) Credit Risk Modeling 2) Treasury Modeling 3) Market Risk Modeling 4) Pricing Modeling 5) Forecasting Execute enterprise standards for model validation, by setting the scope of a validation effort. Design the tests and review activities necessary to evaluate a model. Evaluate the strengths and weaknesses of a model's conceptual framework to identify situations where a model may become less useful. Review risks and formulate the proposed controls into a plan of action for management. Provide technical direction, accuracy and soundness of quantitative methods in the assigned area. Remote work may be permitted within a commutable distance from the worksite.

REQUIREMENTS: Master?s degree, or foreign equivalent, in Engineering, Mathematics, Physics, Statistics, Econometrics, Quantitative Finance, or a related field, and two (2) years of experience in the job offered or in a related quantitative occupation in the financial services industry. Two (2) years of experience must include: Analyzing and interpreting large and complex datasets, evaluating data quality, accuracy, and availability and identifying relationships, trends, and patterns in data; Applying quantitative and financial modeling techniques, including regression analysis, hypothesis testing, time series analysis, and machine learning/AI for risk quantification, forecasting, model valuation, and model risk; Implementing and executing data analysis, modeling, and testing using statistical software including Python, R, or SAS and mathematical and statistical software packages; Conducting independent research, analyzing problems, formulating, and implementing solutions, and producing quality results on time; and Validating and assessing complex financial models including in-depth examination of model assumptions, methodologies, and strengths and weaknesses, as well as identifying model usage under different scenarios.Qualified applicants please apply online atand utilize reference code #67296. Please indicate ?referral source ? advertisement ? WEB.?

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