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Morgan Stanley

Vice President, Risk / Policy Management

Morgan Stanley, New York, New York, us, 10261

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Morgan Stanley Services Group, Inc. seeks a Vice President, Risk / Policy Management in New York, New York. Perform a broad range of quantitative analysis to support the enterprise-wide modeling need. Oversee and expand various models used in the firm while ensuring compliance with various regulatory requirements (US, UK, EU) and internal standards. Research, develop and deployment of Credit risk, Asset liability management, prepayment, econometric, Interest rate and Market risk models. Utilize advanced financial analysis techniques to evaluate loan, deposits and market position under different economic scenarios. Use advanced statistical and econometrical techniques to manage the risks associated with specified sets of financial positions and day-to-day operations. Lead working groups with participants to develop statistical and econometric models. Collaborate with all stakeholders to ensure the model is appropriate for risk management purpose and meet business needs. Coordinate across different stakeholders in the model development or analytic project to understand the deliverables and timelines and explain the outputs to appropriate audiences. Prepare presentations and reports to explain statistical results in both non-technical as well as technical format to stakeholders. Work with subject matter experts within the business segments to estimate the portfolio behavior, ratings and capture actual transaction details to back-test the model results with actual historical results. Participate in regulatory exams and respond to regulatory inquiries on models. Develop new innovative methodologies to increase the efficiency of the modeling process, including data mining and machine learning techniques. Collaborate closely with the global team members on model developments, enhancements, and implementations. Provide support and guidance to junior team members on the projects assigned to them, including explaining the framework, programs, and documents. Telecommuting permitted up to 2 days per week. Salary Expected base pay rates for the role will be between $190,000 and $205,000 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. Requirements Requires a Master’s in Business Administration, Quantitative Analysis, or a related field and three (3) years of experience in the position offered or three (3) years as a Model Risk Manager, Quantitative Model Development Director, Capital Markets Analyst, or a related role. Requires Three (3) years of experience with: programming using Python, SAS and VBA; quantitative modeling experience using statistical, financial, and advanced mathematical techniques with empirical financial and regulatory applications; data management techniques such as creating data pipelines for supporting model development and implementation; exploratory data analysis using advanced statistical and data mining techniques such as ranking and clustering, tree, machine learning techniques, linear and non-linear regression methodologies; reporting tools such as SQL, Tableau; analysis reporting using advance analytics data function of MS Excel, MS Word, MS PowerPoint; Asset Liability management software including QRM; regulatory frameworks, including Comprehensive Capital Analysis and Review (CCAR), Current Expected Credit Losses (CECL); and experience in process improvement, automation, and data visualization. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

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