Quantitative Trading Strategy Associate

15 MS Investment Mgmt., Inc.; New York (NY); On-site; USD 100,000 - 135,000; Full time

Job summary

Morgan Stanley is seeking a quantitative researcher on the Trading Strategy and Research Team in New York. You will conduct research on market dynamics, liquidity, and execution, applying rigorous methods to translate hypotheses into empirical insights and scalable tools for portfolio implementation.

You will source and construct datasets, develop models and analytical tools, and present findings to portfolio managers and governance forums, contributing to execution quality and scalability

Qualifications

• Bachelor's or Master's degree in a quantitative field or related discipline.
• Strong foundation in statistics, regression, hypothesis testing, and time-series analysis.
• Proficiency in Python and experience with large datasets; SQL or similar data tools is beneficial.

Responsibilities

• Conduct quantitative research on market behavior and trading dynamics to inform portfolio implementation and execution.
• Translate research findings into analytical frameworks and practical applications for the team’s initiatives.
• Source, construct, and maintain datasets to support research and analytics.

Skills

Python

Statistics

Time-series analysis

Regression analysis

Data analysis

Communication

Education

Bachelor's or Master’s in Statistics/Math/Engineering/Data Science

Tools

SQL

Python

Job description

Morgan Stanley is seeking a quantitative researcher on the Trading Strategy and Research Team in New York. You will conduct research on market dynamics, liquidity, and execution, applying rigorous methods to translate hypotheses into empirical insights and scalable tools for portfolio implementation.

You will source and construct datasets, develop models and analytical tools, and present findings to portfolio managers and governance forums, contributing to execution quality and scalability