VP, Equity Quantitative Investment Strategist

Testing Site - JPMC; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

J.P. Morgan Chase & Co. in New York seeks an Equity Quantitative Investment Analyst / VP to join Wealth Management CIO Team, combining fundamental equity analysis with quantitative and factor-based approaches to guide investment decisions across global markets.

You will perform risk modeling, portfolio construction support, and quantitative research using Python/R, communicating insights to portfolio managers while maintaining strict compliance and risk controls.

Qualifications

• 6-10 years’ experience on long-only equity buy-side.
• Experience applying risk models (Axioma or similar).
• Python data analysis with Pandas/NumPy and APIs.
• Proficiency in statistics, econometrics, ML and/or AI techniques.
• Bachelor’s or Master’s degree in a quantitative field.
• CFA designation or progress toward CFA.

Responsibilities

• Apply risk models to evaluate portfolio exposures and inform decisions across global equity markets.
• Collaborate with portfolio managers to apply quantitative models and improve portfolio construction and attribution.
• Build and maintain financial models using Python, leveraging large datasets to uncover market insights; apply AI/ML techniques.
• Communicate quantitative findings clearly to portfolio managers and investment professionals.
• Maintain a strong focus on compliance and risk management.

Skills

Python

Pandas

NumPy

Statistics

Machine learning

AI techniques

Risk models

Communication

Education

Bachelor’s or Master’s degree in a quantitative field

CFA designation or progress toward CFA

Tools

APIs

Job description

J.P. Morgan Chase & Co. in New York seeks an Equity Quantitative Investment Analyst / VP to join Wealth Management CIO Team, combining fundamental equity analysis with quantitative and factor-based approaches to guide investment decisions across global markets.

You will perform risk modeling, portfolio construction support, and quantitative research using Python/R, communicating insights to portfolio managers while maintaining strict compliance and risk controls.