Senior Quantitative Lead-Counterparty Credit Risk Exposure

Firm Risk Management supports 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 The role will reside within the Firm Risk Management's Risk Analytics area. Risk Analytics develops market risk analytics, credit risk analytics, operational risk analytics and scenario analytics models providing quantitative analysis on the Firm's risk exposures. By developing mathematical and statistical models with risk overlays, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations. Primary Responsibilities Develop, enhance and maintain Counterparty Credit Risk (CCR) methodology. Develop models for portfolio analytics purpose, such as credit limit setting and stress limit setting. Write high-quality model documentation that satisfies the firm’s internal model approval functions, audit requirements, and the firm’s regulators (e.g., FRB, OCC, SEC, etc.). Closely work with other teams within FRM to provide regular ongoing model performance assessments, hypothetical risking analysis and override monitoring. Review analysis results with senior management and provide recommendations. Working in an advisory capacity with local/global risk managers and Front Office stakeholders to ensure risk is appropriately captured. Develop analytical tools to support other teams within Firm Risk Management. Qualifications Applicants must have graduated from a four-year accredited university with a quantitative major such as Math, Physics, Statistics, Econometrics, Engineering or Computer Science. 5 to 10 years of work experience in a quantitative research group at a commercial bank, investment bank, or consulting firm. Quantitative skills especially in the area of Monte Carlo simulation, derivatives pricing, hypothesis testing and regression. Strong communication, critical thinking, problem solving and collaboration skills. Curious about risk management, financial products, markets, and regulation. An interest in a fast-paced environment, often balancing multiple high-priority deliverables. Strong attention to detail and ability to provide information in usable formats. Familiarity with coding languages. Benefits This role is hybrid and requires in‑office attendance 3 days per week, with the requirement subject to change at any time. Expected base pay rates for the role will be between $120,000 and $200,000 per year at the commencement of employment. Base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which may also include commission earnings, incentive compensation, discretionary bonuses, other short- and long-term incentive packages, and other Morgan Stanley-sponsored benefit programs. 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. #J-18808-Ljbffr Morgan Stanley