Wealth Management, Quantitative Portfolio Manager, Equities CIO

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
65 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $178k
$134k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $143,437–$212,812.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Wealth Management, Quantitative Portfolio Manager, Equities CIO

As a Quantitative Portfolio Manager (Executive Director) within the Wealth Management Chief Investment Office Equities team, you will serve as a senior leader responsible for setting the quantitative research agenda and owning core portfolio analytics and risk frameworks. You will drive the implementation of systematic, factor-based, and data-driven insights for an equity portfolio benchmarked against MSCI World. Your daily work involves managing multi-factor risk models like Axioma, designing construction frameworks with turnover controls, and performing performance attribution to diagnose return drivers. You will develop scalable research tools using a Python-first approach, including Pandas, NumPy, and SciPy, while exploring machine learning techniques for feature engineering and NLP. The role requires translating complex quantitative concepts into actionable investment decisions while managing risk governance, portfolio construction, and the integration of quantitative signals with fundamental views across global mandates.

What you'll do

  • Set the quantitative research agenda and integrate quantitative signals with fundamental views for global equity mandates.
  • Own multi-factor risk models to monitor exposure, concentration, liquidity, and scenario sensitivities.
  • Design and improve portfolio construction frameworks including turnover control, transaction costs, and rebalancing discipline.
  • Lead performance attribution and factor decomposition to diagnose drivers of returns and active risk.
  • Develop scalable research tools and data pipelines using a Python-first approach.
  • Apply machine learning and AI techniques for feature engineering and alternative data analysis.
  • Translate complex quantitative outputs into actionable investment recommendations for senior leadership.
  • Ensure model governance, suitability, and adherence to internal risk management policies.

What we're looking for

  • Bachelor's degree required.
  • Master's or PhD in a quantitative discipline such as Math, CS, Engineering, Statistics, or Financial Engineering is strongly preferred.
  • 12+ years of experience in quantitative investing, equity research, portfolio construction, or risk analytics.
  • Deep expertise in equity markets, factor investing, risk modeling, and portfolio construction under real-world constraints.
  • Proven experience owning or influencing risk model usage (Axioma or similar) for exposure management and attribution.
  • Advanced programming capability in Python with experience in data analysis libraries and production-quality research practices.
  • Solid grounding in statistics/econometrics and familiarity with machine learning techniques for investment contexts.
  • CFA progress or designation is a plus.

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