Overview The Principal (Model Risk Project Manager) will lead projects to evaluate the implementation and modification to a suite of interconnected models. 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 oversee execution of enterprise standards for model validation on a large and/or interconnected scale. The incumbent will be responsible for identifying and evaluating model risk and engaging model owners and business users to agree on possible controls. The incumbent will create review schedules for projects and ensure resources are assigned to the project. Incumbent must be able to provide intellectual leadership in terms of conducting cutting-edge research, identifying latest trends and developments in modeling, and recommending alternative solutions to analytically challenging problems. The incumbent may lead the work of analysts in one of five disciplines, each responsible for a different type of modeling:1) Credit Risk Modeling2) Treasury Modeling3) Market Risk Modeling4) Pricing Modeling5) ForecastingFor model review activities that occur on a large or interconnected scale, the incumbent will create validation and review schedules for projects and ensure analyst resources are assigned to the project.Execute enterprise standards for model validation, by setting the scope of a validation effort for large and/or interconnected models. This entails designing the tests and review activities necessary to evaluate a model or suite of models.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.Engage model owners and business users of models to agree on possible controls that have been identified as part of a validation effort by analysts.No direct reports,, provides guidance to more junior analysts. Responsible for the indirect supervision of team members and coordination of resources. 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.5 years with Masters or 3-years with PhD required. 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.. BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans. Our ambition is to build the best global team - one that is representative and inclusive of the diverse talent, clients and communities we work with and serve - and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.