Risk Analytics, Scenario Analytics: Vice President

Morgan Stanley • New York, NY

1d • Hybrid

About The Position

Morgan Stanley's Firm Risk Management (FRM) Division is an exciting and rapidly growing space. We support Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. Background on the Position Morgan Stanley is seeking a VP to join the Firm Risk Management's Risk Analytics Group. Risk Analytics develops market risk, wholesale credit risk, counterparty credit risk and stress testing scenario analytics models providing quantitative analysis on the Firm's risk exposures. By developing mathematical and statistical models, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations. This role will reside within the Scenario Analytics (SA) team within the Scenario and Credit Stress Analytics (SCSA) department of Risk Analytics. The SA team is responsible for producing macroeconomic scenarios and forecasts used in Firm-wide capital planning, budgeting, and loss assessment. Additionally, the wider SCSA department is responsible for developing state-of-the-art credit stress testing models to support capital planning and risk management. SCSA is seeking a senior quantitative modeler to support macroeconomic forecasting and scenario generation projects and deliverables in modeling, stress testing and climate risk space. The candidate needs to collaborate within the team and across a range of functional groups to timely fulfill the deliverables for various stress testing exercises.

Requirements

• Master's degree in a quantitative field such as Finance, Economics, Engineering, or Mathematics, or equivalent experience.
• 5-10 years of experience at a financial institution, audit firm, or consulting firm, preferably performing a similar function.
• Strong analytical thinking and problem-solving skills.
• Proficiency in using R and Python for statistical and econometric analysis.
• Ability to work independently and manage multiple projects simultaneously.
• Attention to detail, a self-motivated team player who thrives in a fast-paced, team-oriented environment.
• Excellent communication skills: ability to present complex and technical issues clearly, both verbally and in writing.

Nice To Haves

• Knowledge of financial risk management and regulatory compliance.
• Prior risk management experience in the financial industry.

Responsibilities

• Developing, analyzing, explaining, and documenting econometric models and macroeconomic forecasting results used for stress testing purposes.
• Participating in econometric modeling and macroeconomic forecasting tasks for BAU and regulatory stress testing needs (climate risk, capital planning, limit setting, budgeting and planning, accounting regimes,).
• Organizing and analyzing macroeconomic and financial market data from various sources.
• Coding in R and Python to enhance variable forecast generation and process automation
• Liaising with risk managers and various business units across the firm to calibrate macroeconomic and financial market variable paths for various forecasting initiatives.
• Assisting in economic research, statistical modeling, machine learning and methodology development to enhance the scenario design framework.
• Communicating with stakeholders, internal audit, model validation, regulatory agencies and responding to their requests on a timely and accurate basis.
• Providing support to software tool development and testing and scenario design documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees