JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
Banking · Banking
Currently tracking 333 active AI roles, up 109% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $196k–$285k (avg $242k).
| Title | Stage | AI score |
|---|---|---|
| Asset Management- Quantitative Equities Research Analyst - Vice President Quantitative Equity Researcher (VP) at JPMorgan Chase focused on developing novel alpha signals and enhancing return-forecasting models using advanced statistical, econometric, and machine learning techniques, including LLMs and generative AI. The role involves applying these techniques to large datasets, designing research pipelines, building research frameworks, and collaborating with portfolio managers and technology teams to integrate research into production systems. Requires strong Python and SQL skills, and experience with NLP and alternative data for repeatable research. | DataAgent | 7 |
| Asset Management, Equity Quant Researcher, Associate PhD-level Quant Researcher with 0-3 years of experience in machine learning, specializing in reinforcement learning, to develop alpha signals and portfolio construction methodologies for global equity markets. Responsibilities include data analysis, model enhancement, and integrating research into production systems. |
| DataPost-train |
| 7 |
| Quantitative Trading & Research - Alpha Quant - Vice President Quantitative researcher for an Equity Derivatives team, focusing on end-to-end alpha research and strategy deployment. Responsibilities include feature engineering, building calibration/attribution/monitoring frameworks, and implementing systematic strategies using data analytics, statistical modeling, and machine learning. The role also involves leveraging AI/ML tooling to accelerate research and improve productivity. | Data | 7 |
| Asset Management- Equity Quantitative Researcher - Vice President Quantitative Equity Researcher (VP) at JPMorgan Asset Management, focusing on developing novel alpha signals and enhancing return forecasting models using advanced statistical, econometric, and machine learning techniques on large datasets. The role involves research in portfolio construction and risk management, translating insights into investment strategies, and collaborating with technology teams for model integration. | Data | 7 |