Quantitative Analyst at E*TRADE from… · New York

Summary: Morgan Stanley is a leading global financial services firm offering a variety of investment and management services. They are seeking a Risk Quantitative Analyst to join the Firm Risk Management's Risk Analytics Group, where the role involves developing quantitative models for assessing and managing risk across various domains. Responsibilities: - Developing quantitative models across market risk, wholesale credit risk, counterparty credit risk, and stress testing - Building macroeconomic scenarios and forecasts used in firm wide capital planning, budgeting, and loss assessment - Collaborating with experienced quantitative professionals to enhance technical expertise in econometric modeling, forecasting, and scenario design Required Qualifications: - Bachelor's degree in a quantitative discipline (e.g., Economics, Finance, Mathematics, Statistics, Engineering, or Computer Science); Master's degree a plus - 0-3 years of relevant experience in quantitative analytics, risk, model development/validation, stress testing, or a related analytical role (internship experience welcomed) - Strong quantitative and analytical skills, with the ability to structure problems, validate results, and explain key drivers clearly - Proficiency in at least one programming language used for analytics (Python preferred); experience with R is a plus - Hands on experience using Microsoft Office tools (e.g. Word, PowerPoint, Excel, Outlook and Teams) for documentation, analysis, presentations, and collaboration - Familiarity with statistical/econometric techniques (e.g., regression, time series analysis, forecasting); willingness to learn firm specific frameworks and tools Preferred Qualifications: - Familiarity with Financial products and financial risk management - Ability to manage multiple priorities in a deadline driven environment, with strong attention to detail and documentation discipline - Strong written and verbal communication skills, including the ability to summarize technical work for non technical stakeholders - Collaborative, proactive, and motivated to learn in a team oriented environment - Familiarization of working with version control systems (Git) - Working knowledge of AI tools Required Skills: Quantitative analytics, Risk management, Model development, Model validation, Stress testing, Econometric modeling, Forecasting, Scenario design, Python, R, Microsoft Office, Statistical techniques, Time series analysis, Regression, Financial products, Version control systems, AI tools Benefits: Commission earnings, Incentive compensation, Discretionary bonuses, Other short and long-term incentive packages, Other Morgan Stanley sponsored benefit programs