Base: $100,000 to $140,000 py; bonus/equity: incen...
Hybrid
Bachelor's degree in quantitative discipline
Proficiency in python programming language
Experience with statistical econometric techniques
The role sits within the Scenario Analytics team responsible for developing macroeconomic scenarios used in firm-wide capital planning and stress testing
Job Summary
The role sits within the Scenario Analytics team responsible for developing macroeconomic scenarios used in firm-wide capital planning and stress testing.
Morgan Stanley offers strong opportunities for professional growth through hands-on modeling work and exposure to large-scale regulatory exercises.
This position is hybrid and currently requires in-office attendance three days per week.
Matching Summary
The role sits within the Scenario Analytics team responsible for developing macroeconomic scenarios used in firm-wide capital planning and stress testing.
Salary
Base: $100,000 to $140,000 per year; Bonus/Equity: Incentive compensation and discretionary bonuses may apply; Benefits: Comprehensive employee benefits and perks included
Skills & Requirements
Must-have
Bachelor's degree in quantitative discipline
Proficiency in Python programming language
Experience with statistical econometric techniques
Hands on Microsoft Office tools usage
Ability to structure problems and validate results
Nice-to-have
Master's degree in relevant field
Familiarity with R programming language
Knowledge of financial products and risk management
Experience with version control systems like Git
Working knowledge of AI tools
Key Requirements
0-5 years of relevant experience in quantitative analytics or risk