Quantitative Analyst (macroeconomic scenario design)
Morgan Stanley is a leading global financial services firm offering investment banking, securities, investment management, and wealth management services. They are seeking a Risk Quantitative Associate to join the Firm Risk Management's Risk Analytics Group, where the role focuses on developing macroeconomic scenarios and forecasts for capital planning and loss assessment.
Responsibilities
- Develop macroeconomic scenarios and forecasts used in firm wide capital planning, budgeting, and loss assessment
- Build technical expertise in econometric modeling, forecasting, and scenario design
- Collaborate with experienced quantitative professionals on stress testing exercises
Skills
- Bachelor's degree in a quantitative discipline (e.g., Economics, Finance, Mathematics, Statistics, Engineering, or Computer Science); Master's degree a plus
- Proficiency in at least one programming language used for analytics (Python preferred); experience with R is a plus
- 0-5 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
- 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
- Some of the most attractive and comprehensive employee benefits and perks in the industry
Company Overview