Quantitative Analyst

Morgan Stanley is a leading global financial services firm offering a range of investment and wealth management services. They are seeking a Risk Quantitative Analyst to join their Firm Risk Management's Risk Analytics Group, where the role involves developing quantitative models to assess and manage risk exposures across various domains.

Responsibilities

• Develop quantitative models across market risk, wholesale credit risk, counterparty credit risk, and stress testing
• Help assess and manage the Firm's risk exposures
• Develop macroeconomic scenarios and forecasts used in firm wide capital planning, budgeting, and loss assessment
• Build advanced credit stress testing models that support key risk management and regulatory initiatives
• Engage in hands-on modeling work, exposure to large-scale regulatory and internal stress testing exercises, and collaboration with experienced quantitative professionals
• Build technical expertise in econometric modeling, forecasting, and scenario design
• Develop communication and problem-solving skills through cross-functional engagement across the Firm

Skills

• 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
• 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

Benefits

• Commission earnings
• Incentive compensation
• Discretionary bonuses
• Other short and long-term incentive packages
• Other Morgan Stanley sponsored benefit programs

Company Overview