Senior Quantitative Equity Portfolio Manager, VP

JP Morgan Chase; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

JPMorganChase is seeking a Quantitative Portfolio Manager, VP, in Wealth Management's CIO – Equities to lead the quantitative research agenda and own core analytics for an $80bn portfolio benchmarked to MSCI World.

You will integrate signals with fundamental views, govern models, and partner with tech, data, risk, and controls teams to ensure robust investment processes and governance.

Qualifications

• 6+ years of experience in quantitative investing, equity research, portfolio construction, or risk analytics.
• Deep understanding of equity markets, factor investing, risk modeling, and portfolio construction under real-world constraints.
• Proven experience owning or heavily influencing risk model usage (Axioma or similar).
• Advanced programming capability in Python with data libraries and production-quality research practices.
• Solid grounding in statistics/econometrics and familiarity with ML techniques for investment contexts.
• Bachelor's degree required.

Responsibilities

• Lead quantitative leadership and investment partnership across the equity team and mandates.
• Own risk models and monitor exposures, crowding, concentration, and liquidity considerations.
• Design and improve portfolio construction frameworks, including turnover control and costs.
• Drive attribution and factor decomposition to diagnose drivers of returns and risk.
• Develop scalable research tooling (Python-first) and data pipelines for PM workflows.

Skills

Python programming

Quant investing

Risk modeling

Portfolio construction

Data analysis

Stakeholder communication

Education

Bachelor's degree

Master's/PhD preferred

Tools

Axioma

Pandas

NumPy

SciPy

scikit-learn

Job description

JPMorganChase is seeking a Quantitative Portfolio Manager, VP, in Wealth Management's CIO – Equities to lead the quantitative research agenda and own core analytics for an $80bn portfolio benchmarked to MSCI World.

You will integrate signals with fundamental views, govern models, and partner with tech, data, risk, and controls teams to ensure robust investment processes and governance.