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.
New York, NY, United States
Open 4 months, first seen by us 132 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Automate trading workflows to reduce manual steps, focusing on credit and securitized products
Lead research into market microstructure and liquidity across rates, credit, FX and commodities
Advise traders and portfolio managers on execution strategy and market impact trade-offs
Build and maintain dashboards, TCA frameworks and execution quality tools
Coordinate trading, portfolio management and technology teams to deliver analytics projects
Work directly with traders to automate workflows, reduce manual intervention
Lead research into market microstructure, price formation, and liquidity dynamics across rates, credit, FX, and commodities
Act as a subject matter expert for traders and portfolio managers, providing data-driven recommendations on execution strategy
Build and maintain dashboards, TCA frameworks, and execution quality tools
Coordinate across trading, portfolio management, and technology teams to deliver end-to-end analytics solutions
Open 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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
Required qualifications, skills and capabilities: - Python Proficiency: Strong hands-on experience with Python for quantitative research, including data manipulation (pandas, NumPy), visualization (matplotlib, seaborn), and performance-oriented coding practices. - Market Data & Databases: Demonstrated ability to work with tick-level and transactional market data using high-performance query tools and financial databases.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
The Trading Research team delivers quantitative analysis across equites, fixed income, credit, currencies, and commodities to drive execution excellence and systematic trading innovation. Our work spans transaction cost analysis (TCA), execution optimization, and automation of trading workflows — all underpinned by a global analytics platform shared across teams in New York, London, Hong Kong, and Mumbai. We partner closely with trading desks to translate quantitative insight into tangible improvements in execution quality and operational efficiency.
Job summary:
As an Investment Platform Quantitative Researcher Executive Director on the Asset Management Investment Platform Trading Research team Executive Director on the Asset Management Investment Platform you will take a leading role in shaping and executing strategy and automation across GFICC asset classes. You will lead cross functional projects for our investment platform and provide execution consultancy to our clients.
Job responsibilities:
Cross-functional Leadership Coordinate across trading, portfolio management, and technology teams to deliver end-to-end analytics solutions. Define requirements, manage delivery timelines, and ensure outputs are practical and embedded in day-to-day trading workflows.
Required qualifications, skills and capabilities:
Python Proficiency: Strong hands-on experience with Python for quantitative research, including data manipulation (pandas, NumPy), visualization (matplotlib, seaborn), and performance-oriented coding practices.
Market Data & Databases: Demonstrated ability to work with tick-level and transactional market data using high-performance query tools and financial databases.
GFICC Market Knowledge: Solid understanding of fixed income and FX market microstructure, execution dynamics, liquidity provisioning, and the mechanics of electronic and voice trading.
Execution & Algorithms: Practical knowledge of algorithmic execution, smart order routing, and the quantitative drivers of transaction costs in fixed income or currency markets.
Stakeholder Communication: Proven ability to translate complex quantitative outputs into clear, actionable recommendations for non-technical audiences including traders and senior business stakeholders.
Collaborative Development: Experience working in team-based development environments using version control systems (Git) and structured code review processes.
Applied Machine Learning: Familiarity with ML techniques relevant to trading research, including supervised/unsupervised learning, reinforcement learning, or NLP applied to financial data.
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New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.