Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,820 postings in the last year. Stated ranges, not salaries paid.
Quant Analytics Senior associate - Card Data Analaytics
Wilmington, DE, United States
Live, first seen by us 32 days ago- Pay
- Pay not listedSimilar roles state $118K–$194K
- 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 postingRun quantitative analysis on card portfolio acquisition, activation, spend, retention and attrition
Design experiments and testing strategies for cobrand partnership initiatives
Present findings and recommendations to senior management and stakeholders
Optimize rewards structures and cardholder value propositions
Prepare partner reporting and performance insights for cobrand relationship management
From the employer’s posting
Execute quantitative analytics to drive credit card portfolio strategy and performance across key metrics including acquisition, activation, spend, retention, and attrition
Consult on experimental design and testing strategies in collaboration with partners and internal teams
Present findings and actionable recommendations clearly and compellingly to senior management and cross-functional stakeholders
Optimize rewards structures and cardholder value propositions to enhance customer loyalty and engagement
Prepare and deliver partner reporting and performance insights to support cobrand relationship management
What you’ll bring
All qualificationsCore experience
- 3+ years applied experience plus formal analytics training or certification
- Bachelor's in a quantitative field, or advanced degree with analytical experience
- Proficiency in Python, R, or SAS and data query languages
Qualification wording
Formal training or certification on analytics concepts and 3+ years applied experience
Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or an advanced degree with relevant analytical experience
Proficiency in statistical programming languages including Python, R, or SAS, and data query
Education & alternatives
- Formal training or certification on analytics concepts and 3+ years applied experience - Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or an advanced degree with relevant analytical experience - Proficiency in statistical programming languages including Python, R, or SAS, and data querying languages such as SQL
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202632 days ago
- Recorded sightings
- 71
- Last seen by us
- Nov 8, 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 32
Similar jobs usually come down between day 7 and day 57.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 10,658 similar postings that came down, and 942 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
374 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
- R
- SAS
- SQL
- Hadoop
- Hive
- Spark
- Tableau
Where the posting names them
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or an advanced degree with relevant analytical experience - Proficiency in statistical programming languages including Python, R, or SAS, and data querying languages such as SQL - Experience with modern analytics and data tools including Hive, Hadoop, Spark, Tableau, or Alteryx
- Proficiency in statistical programming languages including Python, R, or SAS, and data querying languages such as SQL - Experience with modern analytics and data tools including Hive, Hadoop, Spark, Tableau, or Alteryx - Exceptional analytical and quantitative problem-solving skills with the ability to translate complex data into clear, actionable insights
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 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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
We're driven by curiosity, passion, optimism, and the belief that everybody can grow.
As a Quantitative Analytics Senior Associate at JPMorganChase within Card Data & Analytics, you will deliver high-impact quantitative insights that shape strategies across cobrand credit card partnerships — from acquisition and engagement to retention and rewards optimization. Your work will directly influence partnership strategies, cardholder value, and customer experience, with meaningful visibility to senior leadership. This is an opportunity to bring your analytical expertise to a collaborative, fast-paced team where your insights drive real business outcomes.
Job responsibilities
- Execute quantitative analytics to drive credit card portfolio strategy and performance across key metrics including acquisition, activation, spend, retention, and attrition
- Develop innovative analytical solutions and frameworks to address complex business challenges across cobrand partnership programs
- Consult on experimental design and testing strategies in collaboration with partners and internal teams to validate and scale initiatives
- Present findings and actionable recommendations clearly and compellingly to senior management and cross-functional stakeholders
- Maintain rigorous data controls to ensure accuracy, integrity, and compliance across all analytical outputs
- Apply advanced analytical tools and models — including generative AI and segmentation frameworks — to uncover actionable insights
- Collaborate closely with marketing, product, and Data & Analytics teams to align analytical work with broader business priorities
- Optimize rewards structures and cardholder value propositions to enhance customer loyalty and engagement
- Prepare and deliver partner reporting and performance insights to support cobrand relationship management
Required qualifications, capabilities, and skills
- Formal training or certification on analytics concepts and 3+ years applied experience
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or an advanced degree with relevant analytical experience
- Proficiency in statistical programming languages including Python, R, or SAS, and data querying languages such as SQL
- Experience with modern analytics and data tools including Hive, Hadoop, Spark, Tableau, or Alteryx
- Exceptional analytical and quantitative problem-solving skills with the ability to translate complex data into clear, actionable insights
- Strong communication skills with the ability to convey complex information to both technical and non-technical audiences
- Demonstrated intellectual curiosity and a proactive approach to solving ambiguous business problems
- Familiarity with generative AI concepts and prompt engineering fundamentals
Preferred qualifications, capabilities, and skills
- 3 or more years of experience in the credit card industry, with exposure to cobrand or partnership programs
- Experience with customer segmentation, lifecycle analytics, or rewards optimization strategies
- Familiarity with experimental design methodologies such as A/B testing or champion/challenger frameworks
- Demonstrated ability to influence strategy through data storytelling and executive-level presentations
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
Wilmington, DE, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.