Pay
$94.1K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,018 postings in the last year. Stated ranges, not salaries paid.
Quant Analytics Senior Associate – Business Intelligence
New York, NY, United States
Live, first seen by us 23 days ago- Pay
- Pay not listedSimilar roles state $94K–$145K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
We do not offer any type of employment-based immigration sponsorship for this position
What you’ll work on
Full postingDeliver performance insights to improve sales effectiveness
Build and maintain sales enablement tools with clear recommendations
Develop AI-enabled insights and workflow enhancements
Analyze large, complex datasets to find trends and commercial drivers
Prototype statistical or machine learning models
From the employer’s posting
Deliver actionable performance insights for the Global Liquidity and North America Institutional Sales teams to improve sales effectiveness
Build and maintain sales enablement tools that provide timely intelligence and clear recommendations
Develop and operationalize AI-enabled insights and workflow enhancements that improve decision-making speed and quality
Analyze large, complex datasets to identify trends, opportunities, and drivers of commercial outcomes
Prototype statistical or machine learning models to support strategic business objectives and measurement
What you’ll bring
All qualificationsCore experience
- Three years of hands-on coding in Python, PySpark, and SQL
- Experience delivering BI or analytics solutions with measurable outcomes
- Working knowledge of AI concepts in analytics, reporting, or sales enablement
Qualification wording
Three years of hands-on coding experience using Python, PySpark, and SQL
Experience delivering business intelligence or analytics solutions that drive measurable business outcomes
Working knowledge of AI concepts and practical applications in analytics, reporting, or sales enablement
Education & alternatives
- Experience in asset management or financial services, including exposure to distribution or institutional sales organizations - Bachelor’s degree in business, analytics, data science, computer science, artificial intelligence, or a related discipline - Proficiency with Microsoft Excel and Microsoft PowerPoint for analysis and stakeholder-ready storytelling
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 202623 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 10, 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 23
Similar jobs usually come down between day 5 and day 43.
At JPMorgan Chase, jobs usually come down by about day 15.
From 13,640 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.
- Hiring at a steady pace
- 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
- Excel
- Tableau
- PySpark
Where the posting names them
Required qualifications, capabilities and skills - Three years of hands-on coding experience using Python, PySpark, and SQL - Experience delivering business intelligence or analytics solutions that drive measurable business outcomes
- Bachelor’s degree in business, analytics, data science, computer science, artificial intelligence, or a related discipline - Proficiency with Microsoft Excel and Microsoft PowerPoint for analysis and stakeholder-ready storytelling - Proficiency with Qlik Sense or Tableau for data visualization and self-service reporting
- Proficiency with Microsoft Excel and Microsoft PowerPoint for analysis and stakeholder-ready storytelling - Proficiency with Qlik Sense or Tableau for data visualization and self-service reporting We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
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 Analyst roles
New Analyst postings at the employers we follow are up 24% 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 Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Join a high-growth Business Intelligence and Analytics team where your work directly shapes commercial strategy through data. You will turn complex datasets into clear insights, build scalable tools, and introduce automation that helps teams act faster. If you enjoy partnering with stakeholders, telling compelling stories with data, and delivering measurable outcomes, this role offers broad exposure and meaningful impact.
As a Quant Analytics Senior Associate – Business Intelligence at JPMorganChase within Asset and Wealth Management, you will support the Global Liquidity and North America Institutional Sales teams with performance insights and strategic recommendations. You will partner with sales leadership and cross-functional teams to define success metrics, improve decision-making, and deliver timely intelligence. You will contribute to modern analytics capabilities, including automation and artificial intelligence (AI)-enabled workflows, while maintaining a strong focus on data quality, governance, and business outcomes.
Job responsibilities
- Deliver actionable performance insights for the Global Liquidity and North America Institutional Sales teams to improve sales effectiveness
- Build and maintain sales enablement tools that provide timely intelligence and clear recommendations
- Develop and operationalize AI-enabled insights and workflow enhancements that improve decision-making speed and quality
- Analyze large, complex datasets to identify trends, opportunities, and drivers of commercial outcomes
- Prototype statistical or machine learning models to support strategic business objectives and measurement
- Partner with technology teams to define data requirements and scale data models with appropriate lineage and governance
- Present clear, compelling stories with data and translate findings into recommendations for senior stakeholders
Required qualifications, capabilities and skills
- Three years of hands-on coding experience using Python, PySpark, and SQL
- Experience delivering business intelligence or analytics solutions that drive measurable business outcomes
- Working knowledge of AI concepts and practical applications in analytics, reporting, or sales enablement
- Experience working in Agile delivery environments with cross-functional product teams
- Proven experience designing, developing, and monitoring key performance indicators and performance measurement frameworks
- Strong stakeholder management and communication skills across business and technology partners
- Strong analytical and problem-solving skills, with the ability to work iteratively through evolving requirements and complex datasets
Preferred qualifications, capabilities and skills
- Experience in asset management or financial services, including exposure to distribution or institutional sales organizations
- Bachelor’s degree in business, analytics, data science, computer science, artificial intelligence, or a related discipline
- Proficiency with Microsoft Excel and Microsoft PowerPoint for analysis and stakeholder-ready storytelling
- Proficiency with Qlik Sense or Tableau for data visualization and self-service reporting
We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
- Proficiency with Qlik Sense or Tableau for data visualization and self-service reporting We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).