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Asset Management- Quantitative Equities Research Analyst - Vice President
Job in
City of Rochester, Rochester, Monroe County, New York, 14602, USA
Listed on 2026-10-05
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-10-05
Job specializations:
-
Research/Development
Data Scientist, Research Analyst
Job Description & How to Apply Below
Quantitative Equity Researcher — Vice President New York
Job Summary
As aVice President within the quant research team, you will play a role in shaping and executing the research agenda. You will independently initiate, scope, and deliver research that enhances the investment process, with a clear focus on empirical rigor and reproducibility. The ideal candidate brings expertise in quantitative analysis to develop scalable tools and differentiated systematic insights.
Job Responsibilities:- Develop and test research hypotheses using internal research data and external market datasets, translating investment questions into studies with statistically sound results and decision-ready conclusions.
- Research, prototype, and evaluate equity signals and factors across data sources (fundamental, price/volume, sentiment, and alternative), assessing robustness, persistence, and practical application in portfolio construction.
- Produce regular research performance commentary and market “color”, summarizing signal/factor behavior and return drivers, and clearly communicating actionable takeaways, risks, and recommended follow-ups to stakeholders.
- Collaborate with engineering/technology teams to implement validated research, emphasizing reproducible pipelines, version control, documentation and monitoring.
- Stay current on academic and industry advances in quantitative equities(factors, market microstructure, portfolio construction, risk modeling, and data quality) and translate relevant ideas into a prioritized, hypothesis-driven research agenda.
- 5+ yearsof experience in quantitative equity research or a related field, with demonstrated independent research delivery and project leadership.
- Deep expertise in quantitative modeling, portfolio construction, and equity markets.
- Strong programming skills in Python, including the ability to build robust research infrastructure and reusable analytics;
SQL proficiency for data extraction and manipulation is required. - Excellent verbal and written communication skills, with the ability to convey complex technical ideas to both technical and non-technical audiences, including senior stakeholders.
- Proven ability to manage multiple research work streams and deliver results in a fast-paced environment, with strong prioritization and disciplined documentation.
- Demonstrated ability to collaborate effectively across investment, research, and technology teams.
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