Equity Quant Research VP — Innovative Alpha Signals & ML

Testing Site - JPMC; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

JPMorgan Asset Management is seeking a Vice President in New York for its U.S. Disciplined Core Equity group. The role leads quantitative research, develops alpha signals, and advances systematic investment strategies within a fast-paced environment.

Required are 5+ years in quantitative equity research, advanced quantitative degrees, and strong Python/Machine Learning skills. Collaboration with PMs and tech teams is essential to translate research into production-ready insights.

Qualifications

• 5+ years of experience in quantitative equity research with independent leadership.
• Advanced degree (Master's or PhD) in a quantitative/technical discipline.
• Deep expertise in quantitative modeling and portfolio construction.
• Strong Python programming skills.
• Experience with ML, NLP, and alternative/unstructured data.
• Excellent communication and cross-team collaboration.
• Ability to manage multiple projects in a fast-paced environment.

Responsibilities

• Developing novel alpha signals from traditional and alternative data sets.
• Applying advanced statistical, econometric, and ML techniques to large datasets.
• Driving research and innovation in portfolio construction and risk management.
• Collaborating with portfolio managers and stakeholders to translate insights into strategies.
• Overseeing integration of research models into production systems with technology teams.
• Staying abreast of academic and industry developments in quantitative finance.

Skills

Quantitative modeling

Portfolio construction

Machine learning

NLP

Communication

Project leadership

Cross-team collaboration

Education

Master's or PhD in quantitative field

Tools

Python

Job description

JPMorgan Asset Management is seeking a Vice President in New York for its U.S. Disciplined Core Equity group. The role leads quantitative research, develops alpha signals, and advances systematic investment strategies within a fast-paced environment.

Required are 5+ years in quantitative equity research, advanced quantitative degrees, and strong Python/Machine Learning skills. Collaboration with PMs and tech teams is essential to translate research into production-ready insights.