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Type of Role: InvestmentsRisk

Experience Level: VP/Principal/Director

Location: New York City, New York

Salary: $170K - $190K

Morgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City. With offices in 41 countries and more than 75,000 employees, the firm’s clients include corporations, governments, institutions, and individuals. Morgan Stanley ranked No. 61 in the 2021 Fortune 500 list of the largest United States corporations by total revenue.

Manage risks related to the implementation and use of models, covering all aspects of the Firm’s businesses and implementing key regulatory requirements. Provide independent review of Risk, Capital and Consolidation Models used for Risk Weighted Assets as part of Comprehensive Capital Analysis and Review (CCAR) and other regulatory exercises. Develop Model Risk Management (MRM) independent testing framework including coding, unit tests, and quantitative approaches. Monitor ongoing model risk, stay up to date with applicable regulations, market trends and macro and micro themes relevant to the models. Write validation reviews and technical documents to be presented internally as well as regional regulators. Communicate validation results, challenges and methodologies.


Expected base pay rates for the role will be between $170,000.00 and $190,000.00 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.


Requires a Master’s degree in Economics & Finance, or a related field of study and three (3) years of experience in the position offered or three (3) years as Senior Quantitative Analyst, or related occupation. Requires three (3) years of experience with: Implementing regulatory guidelines including SR 11-7 on model risk management and SR 15-18 on capital planning and positions; Aggregating, processing, and monitoring data among different infrastructure areas for time series and panel data; Using GLM (Generalized Linear Models) modeling methodologies; Identifying model risks; Evaluating statistical models for conceptual soundness and code sufficiency; Conducting model diagnostic tests to confirm that the underlying theoretical assumptions are satisfied; Conducting model performance tests to assess a model’s accuracy and predictability; Authoring validation reports; and Streamlining review process for models that fall under similar categories.

Qualified Applicants:

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