Asset & Wealth Management - Equities Quantitative Investment Analyst - Associate/ Vice President

Wealth Management – CIO Equities, Associate

J.P. Morgan Chase & Co. is a leading global financial services firm with assets of more than $2 trillion, over 265,000 employees and operations in over 60 countries. It operates across six business segments including Investment Banking, Commercial Banking, Treasury & Securities Services, Asset & Wealth Management, Retail Financial Services and Card Services.

The Global Wealth Management business offers individuals and families personalized, comprehensive financial solutions that integrate sophisticated investment management, capital markets, trust and banking capabilities. JPMorgan Private Bank was recognized in 2015 by Euromoney as the world’s best global private bank, with more than 1,800 client advisors in 120 offices in 11 countries.

Role Summary

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.

Responsibilities

• Risk Modeling: Support the application of risk models (Axioma or other risk models) to evaluate portfolio exposures and assist in risk management and investment decision-making across global equity markets.
• Portfolio Construction: Assist portfolio managers in applying quantitative models and analytics to improve portfolio construction, evaluate risk exposures, and conduct performance attribution for global equity portfolios.
• Quantitative Research: Help build and maintain financial models using programming skills (Python, R, or similar), and work with large and complex datasets to uncover new market insights and trends. Contribute to the application of AI and machine learning techniques to enhance investment research and portfolio management.
• Collaboration and Communication: Collaborate with fundamental team members and senior quants to integrate quantitative insights into investment strategies. Clearly and effectively communicate quantitative concepts, findings, and actionable insights to portfolio managers and other investment professionals.
• Compliance: Maintain a consistent focus on compliance and risk management.

Key Skills and Experience Required

• 3-5 years’ experience in quantitative analysis, preferably on the buy-side or in investment management. Understanding of equity markets, financial theory, and risk models.
• Experience applying or supporting risk models and portfolio construction; familiarity with Axioma or other risk models is a plus.
• Proficient programming skills in Python, including experience with data analysis libraries (e.g., Pandas, NumPy) and working with APIs.
• Familiarity with 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.).
• Progress toward CFA designation is a plus.

Key Attributes

• Strong analytical mindset with intellectual curiosity, problem-solving, and critical thinking skills, as well as excellent attention to detail.
• Excellent communication skills (listening, verbal, and written), with the ability to explain quantitative concepts to non-quant colleagues.
• Clear passion for financial markets and investing.
• High-level interpersonal and teamwork skills.
• Effective multi-tasking and prioritization capabilities.
• Ability to operate productively in a collaborative, fast-paced, team-oriented environment.