Wealth Management , Chief Investment Officer Equities Team, Vice President

JPMorgan Chase • New York, NY

88d

About The Position

As an Equity Quantitative Investment Analyst / VP, you will join a growing and innovative Equity Portfolio Management team within Wealth Management's Chief Investment Officer Team (Private Bank CIO Team), reporting to the Head of Quantitative Investments in the CIO Equities team. In this role, you will be part of a group that combines traditional fundamental equity analysis with rigorous quantitative and factor-based approaches to drive investment decisions. You will collaborate closely with fundamental analysts and portfolio managers, monitor the trade process, and contribute quantitative investment and portfolio construction ideas for implementation within discretionary equity and multi-asset client portfolios across global markets.

Requirements

• 6-10 years' experience working on Long-only Equity Buy-side.
• In-depth understanding of equity markets, financial theory, and risk models.
• Strong experience applying risk models and in portfolio construction; experience with Axioma or other risk models preferred.
• Advanced programming skills in Python, including experience with data analysis libraries (e.g., Pandas, NumPy) and working with APIs.
• Proficiency in statistical analysis, econometrics, machine learning, and/or AI techniques.
• Bachelor's or Master's degree in a quantitative field (Finance, Mathematics, Engineering, Computer Science, etc.).
• CFA designation or demonstrated progress toward CFA designation.

Responsibilities

• Apply risk models (Axioma other risk models) to evaluate portfolio exposures, support risk management, and inform investment decisions across global equity markets.
• Partner with portfolio managers to apply quantitative models and analytics to improve portfolio construction, evaluate risk exposures, and conduct performance attribution for global equity portfolios.
• Build and maintain financial models using advanced coding skills (Python, R, or similar), leveraging large and complex datasets to uncover new market insights and trends.
• Apply AI and machine learning techniques to enhance investment research and portfolio management.
• Collaborate with fundamental team members to integrate quantitative insights into investment strategies.
• Clearly and effectively communicate complex quantitative concepts, findings, and actionable insights to portfolio managers and other investment professionals.
• Maintain a consistent focus on compliance and risk management.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree