Quantitative Trading Strategy Analyst

Morgan-Stanley; Town of Islip (NY); On-site; USD 100,000 - 135,000; Full time

Job summary

Morgan Stanley is seeking a quantitative researcher to join the Trading Strategy and Research Team. The role focuses on market dynamics, liquidity, and portfolio implementation, using rigorous statistical methods to derive insights and decision frameworks.

You will source datasets, build models, and deliver bespoke analyses for portfolio managers, traders, and governance committees, with high attention to methodological rigor and clear communication.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• Strong foundation in statistics and quantitative analysis.
• Proficiency in Python and experience with large datasets; familiarity with SQL is beneficial.
• Ability to structure analytical problems and interpret quantitative results with rigor.
• Interest in financial markets, trading, and portfolio implementation.

Responsibilities

• Conduct quantitative research on market behavior and trading dynamics.
• Translate research findings into analytical frameworks and practical applications.
• Source, construct, and maintain datasets to support research.
• Develop quantitative models, tools, and scalable processes.
• Prepare analyses for portfolio managers, traders, and governance forums.

Skills

Python

Large datasets

Statistics

Time-series analysis

Data interpretation

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, CS, Data Science, Economics, Finance

Tools

SQL

Job description

Morgan Stanley is seeking a quantitative researcher to join the Trading Strategy and Research Team. The role focuses on market dynamics, liquidity, and portfolio implementation, using rigorous statistical methods to derive insights and decision frameworks.

You will source datasets, build models, and deliver bespoke analyses for portfolio managers, traders, and governance committees, with high attention to methodological rigor and clear communication.