Morgan Stanley Services Group Inc. seeks a Vice President, Risk/Policy Management in New York, New York

Review, challenge, maintain, and modify financial analytic models. Contribute to the identification, assessment, and monitoring of US Bank Model Risk. Conduct special studies and analyses to understand cross model risks including cross model dependencies and consistencies in assumptions. Assist with Model Risk Management contributions to the Bank Risk Committee, the Bank Board Risk Committee, the Firm Model Oversight Committee, and other working groups and committees by preparing presentations and tracking deliverables and follow up items. Craft remediation actions that effectively addresses core model risk issues. Liaise with financial model developers, users, model control, and reporting units to design and track and maintain a useful and effective suite of Key Risk Indicators and other metrics to objectively identify model risk trends and exposures. Produce quarterly financial analytic model risk assessment reports and other management and committee reports to identify model risk.

Salary: Expected base pay rates for the role will be between $225,000 and $225,000 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 degree in Financial Mathematics, Risk Management, or a related field and two (2) years of experience in the position offered or two (2) years as Vice President, Associate Director, Senior Consultant, Risk Advisory Associate or a related role. Requires two (2) years of experience with: Financial services; financial model validation or model development; mid-cycle and off-cycle executions for CCAR; base and stress testing framework for the Federal Reserve and banks; regulatory programs including CCAR and DFAST; developing and maintaining financial models for PPNR, NII and NIE modelling; statistical programming languages including R and Python; credit retail and wholesale models; analyzing financial quantitative concepts and effectively communicating them to a non-quantitative audience; and project management of financial model validation or model development.

Qualified Applicants:

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