Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,817 postings in the last year. Stated ranges, not salaries paid.
Asset Management- Quantitative Equities Research Analyst - Vice President
New York, NY, United States
Open 4 months, first seen by us 132 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop and test research hypotheses using internal and external market datasets
Research, prototype, and evaluate equity signals and factors across data types
Produce research performance commentary and communicate actionable takeaways and risks
Work with engineering to implement validated research in reproducible pipelines
Track academic and industry advances to shape a hypothesis-driven research agenda
From the employer’s posting
Develop and test research hypotheses using internal research data and external market datasets
Research, prototype, and evaluate equity signals and factors across data sources (fundamental, price/volume, sentiment, and alternative)
Produce regular research performance commentary and market “color”, summarizing signal/factor behavior and return drivers
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
Posting record
Report an errorOpen 4 monthsWe first saw this posting 132 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 1, 2026132 days ago
- Recorded sightings
- 201
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 132
Up longer than most. Similar jobs usually come down between day 8 and day 59.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 11,367 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring has slowed
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- 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.
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About JPMorgan Chase
- People
- About 318,512 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as JPM.
- Layoff notices
- Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Quantitative Equity Researcher — Vice President New York
Job Summary
As a Vice 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.
Required Qualifications and Capabilities:
- 5+ years of 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 workstreams 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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.