Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Quant Analytics Vice President – Credit Card Analytics
New York, NY, United States
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $154K–$225K
- 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 postingLead and coach a team of data scientists and analysts
Partner with card product and marketing teams on acquisition strategy and offer design
Build, validate, and deploy predictive models for acquisition efficiency
Deliver campaign performance analyses and scalable reporting
Turn customer journey insights into experiments and measurable strategies
From the employer’s posting
Lead and develop a team of data scientists and analysts by coaching, setting clear expectations, and supporting career growth
Partner with credit card product and marketing teams to shape acquisition strategy, including offer design and targeting approaches
Build, validate, and deploy predictive models that improve acquisition efficiency and customer experience
Deliver end-to-end analyses and scalable reporting to evaluate campaign performance and identify actionable learnings
Identify opportunities across the customer journey and translate insights into experiments, strategies, and measurable outcomes
Education & alternatives
Required qualifications, capabilities, and skills - Bachelor’s degree in a quantitative discipline (for example, statistics, computer science, operations research, mathematics, or economics) or equivalent practical experience - Two years of direct people leadership experience in an analytical function
Preferred qualifications, capabilities, and skills - Advanced degree (Master’s or Doctorate) in a quantitative discipline - Experience in payments, lending, or credit card economics
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
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 0
Early. Similar jobs usually come down between day 7 and day 54.
At JPMorgan Chase, jobs usually come down by about day 15.
From 8,003 similar postings that came down, and 912 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
410 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Leadership hiring is steady
- 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
Where the posting names them
- Demonstrated ability to influence business decisions and outcomes within a matrixed organization - Proficiency in at least one analytical programming language (for example, Python, R, or SAS) - Proficiency with databases and querying (for example, SQL and modern cloud data platforms)
- Proficiency in at least one analytical programming language (for example, Python, R, or SAS) - Proficiency with databases and querying (for example, SQL and modern cloud data platforms) - Strong analytical and statistical skills with a demonstrated focus on business applications
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
Has JPMorgan Chase posted this job before?
Yes. We’ve followed one other Quant Analytics Vice President – Credit Card Analytics job there since September 2026. It is still up.
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 Leadership roles
New Data Leadership postings at the employers we follow are up 7% 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 Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Job Description
Join a team where your analytics leadership directly shapes how customers discover, choose, and engage with our credit card products. You will translate complex data into clear decisions, partner with marketing and product leaders, and build scalable insights that improve performance at speed. If you enjoy mentoring talent and delivering measurable business impact, this role offers meaningful scope, visibility, and growth.
As a Quantitative Analytics Vice President at JPMorganChase within Card Marketing Analytics, you will lead acquisition-focused analytics for United States consumer and small business credit cards. You will connect customer behavior, offer strategy, and channel performance to drive portfolio growth and improve customer outcomes. You will influence senior stakeholders with crisp storytelling, develop reusable data products, and raise the bar for how analytics powers day-to-day decisions.
Job responsibilities
- Lead and develop a team of data scientists and analysts by coaching, setting clear expectations, and supporting career growth
- Partner with credit card product and marketing teams to shape acquisition strategy, including offer design and targeting approaches
- Build, validate, and deploy predictive models that improve acquisition efficiency and customer experience
- Deliver end-to-end analyses and scalable reporting to evaluate campaign performance and identify actionable learnings
- Identify opportunities across the customer journey and translate insights into experiments, strategies, and measurable outcomes
- Communicate complex analytical results clearly to senior stakeholders, enabling timely and confident decision-making
- Promote strong analytics practices, including experimentation discipline, model governance, and continuous improvement
- Stay current on industry trends and emerging technologies to advance methods, tooling, and ways of working
Required qualifications, capabilities, and skills
- Bachelor’s degree in a quantitative discipline (for example, statistics, computer science, operations research, mathematics, or economics) or equivalent practical experience
- Two years of direct people leadership experience in an analytical function
- Six years of industry experience devising analytical solutions to business problems using large, complex datasets
- Demonstrated ability to influence business decisions and outcomes within a matrixed organization
- Proficiency in at least one analytical programming language (for example, Python, R, or SAS)
- Proficiency with databases and querying (for example, SQL and modern cloud data platforms)
- Strong analytical and statistical skills with a demonstrated focus on business applications
- Proven ability to synthesize results into recommendations and communicate effectively to partners and stakeholders
- Demonstrated ability to manage multiple priorities and deliver results in a fast-paced, dynamic environment
Preferred qualifications, capabilities, and skills
- Advanced degree (Master’s or Doctorate) in a quantitative discipline
- Experience in payments, lending, or credit card economics
- Experience applying generative artificial intelligence using application programming interfaces (APIs) and automation workflows to analytics use cases
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
No clear work-authorization passage found. Eligibility is unconfirmed.