What you'll do in the role: Morgan Stanley Services Group, Inc. is seeking a Vice President, Risk/ Policy Mgmt in New York, New York to develop, enhance, and maintain macroeconomic forecasting and scenario generation models used for firmwide and regulatory stress testing. Scenario production including model development, estimation, documentation, validation support, and ongoing monitoring. Assist in economic research, statistical modeling, machine learning, and methodology development to enhance the scenario design framework. Drive automation and process improvements using Python, R, and analytics tools. Produce audit-ready model documentation in line with internal governance and regulatory expectations. Partner with Model Risk Management, Internal Audit, Finance, and Regulatory Affairs on reviews and examinations. Communicate analytical results to senior management and governance committees. Provide support to software tool development and testing and scenario design documentation. Telecommuting permitted up to 2 days per week.
What you'll bring to the role:-Requires a Master's degree in Physics, Financial Engineering, or a related field of study
-Requires three (3) years of experience in the position offered or three (3) years as a Director, Associate, or a closely related occupation.
-Requires three (3) years of experience with the following skills:
- Econometric and statistical modeling techniques applied to macroeconomic and financial risk analysis;
- Scenario-based forecasting and stress-testing methodologies for regulatory and internal capital planning;
- Time-series modeling technologies including econometric modeling, structural break analysis, and back test analysis;
- Developing and maintaining macroeconomic modeling frameworks and satellite models;
- Vendor tools including Oxford Economics Macro Models;
- Scenario production platforms and workflows, including quarterly path generation, validation, and publication controls;
- Data production technologies for large-scale macro-financial datasets including usage of external data sourcing and data quality checks tools including Haver Analytics;
- Python for quantitative modeling, automation, and production deployment;
- Python and R programming for statistical analysis, model estimation, diagnostics, and testing;
- Relational data technologies for data extraction, transformation, and validation;
- Model testing, validation support, and remediation processes aligned with Model Risk Management (MRM) standards;
- Automated documentation generation tools including Rmarkdown;
- Automated documentation techniques for model methodology, assumptions, and governance artifacts;
- Developing analytical utilities and visualization technologies including dashboards, charting, severity comparison tools;
- Version control and collaborative development technologies including Git for model and code lifecycle management;
- Project management tools and techniques for tracking model development, remediation milestones, and delivery timelines; and
- Preparing technical materials for senior management, audit, and regulatory review forums.
-Requires one (1) year of experience with the following:
- Generative AI tools for analytical workflows, automation, and productivity enhancement including the design and development of AI agents to support modeling, documentation, and process automation tasks.
Expected base pay rates for the role will be between $159,000 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.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
