Wealth Management , Chief Investment Officer Equities Team, Associate / Vice President

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Asset & Wealth Management

This role involves applying AI and machine learning techniques to enhance investment research and portfolio management within a Wealth Management Chief Investment Officer team. The responsibilities include risk modeling, portfolio construction, and quantitative research using Python and large datasets, with a focus on equity markets.

What you'd actually do

  1. Apply risk models (Axioma other risk models) to evaluate portfolio exposures, support risk management, and inform investment decisions across global equity markets.
  2. 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.
  3. 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.
  4. 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.
  5. Maintain a consistent focus on compliance and risk management.

Skills

Required

  • 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
  • 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.

Nice to have

  • experience with Axioma or other risk models preferred.

What the JD emphasized

  • Apply AI and machine learning techniques to enhance investment research and portfolio management.

Other signals

  • Apply AI and machine learning techniques to enhance investment research and portfolio management.