These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 2
859
Early. Similar jobs usually come down between day 8 and day 59.
At JPMorgan Chase, jobs usually 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.
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
Snowflake
Where the posting names them
- Strong understanding of analytics frameworks and should be able to work directly with data owners/custodians and contribute in building analytics data hub.
- Hands on solid skills in advanced analytics with SAS/Python or R language
- Hands on Analytics expert experienced in delivering Analytics projects/products in the financial services domain , involving large and complex data sets in an individual contributor capacity
- Evaluate opportunities to apply AI / GenAI / intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency.
- Build automation solutions leveraging alteryx, snowflake workflows.
- Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
Yes. We’ve followed 3 other Quant Analytics Associate jobs there since July 2026. All 3 are still up.
BengaluruStill up after 133 days, first seen Jul 1
BrooklynStill up after 70 days, first seen Sep 2
BengaluruStill up after 28 days, first seen Oct 14
This jobUp 2 days so far, first seen Nov 9
Jul 1Today
Large employers often post one title for several teams, so these can be separate openings.
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.
August 17Last week
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.
Promote pricing analysis for credit cards, delivering insights and scalable solutions that optimize pricing and key business outcomes. This role sits in Marketing Growth & Innovation, part of Card Services within Chase’s Consumer & Community Banking group.
As a Quant Analytics Associate in the Card Pricing Strategy team, you’ll be responsible to drive key analytics projects and support pricing initiatives for the Credit Card business. You’ll collaborate with cross-functional partners to deliver trusted, scalable analytics solutions that enhance pricing strategies. This role requires strategic thinking and technical expertise to advance pricing goals and support business objectives during pricing strategy rollouts.
Job responsibilities
Drive and contribute towards the analytical book of work for pricing strategy rollouts, enhancing credit card pricing for Consumer & Community Banking customers.
Contributing to effective quantitative problem solving and analytical research and delivery for key pricing initiatives.
A deep understanding of Pricing Business & data analytical techniques, and well versed with analytical research, experimentation and empirical work.
Conduct hypothesis testing and use advanced experimental design techniques - Design and execute A/B tests and multivariate tests to measure impact of effectiveness of pricing strategies and post-performance measurement.
Carries a consulting mindset to understand opportunity areas for driving profitability through analytical recommendations.
Partner with cross-functional teams, including Finance and Marketing, to drive impactful results.
Design and implement highly scalable and reliable data analytics processes and perform analysis and insights to drive and optimize business result
Ability to translate business themes into quantitative / analytical action items
Required qualifications, capabilities, and skills
Formal degree in a quantitative discipline; Computer Science, Statistics, Mathematics, Finance, Economics or Machine learning related field with 3+ years of related experience in Analytics,
Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.
Strong statistical and econometric foundation with hands on experience on Pricing analytics , including elasticity estimation, A/B testing, causal inference and experimentation frameworks.
Strong understanding of analytics frameworks and should be able to work directly with data owners/custodians and contribute in building analytics data hub.
Hands on solid skills in advanced analytics with SAS/Python or R language
Hands on Analytics expert experienced in delivering Analytics projects/products in the financial services domain , involving large and complex data sets in an individual contributor capacity
Evaluate opportunities to apply AI / GenAI / intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency.
Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
Strong grasp on marketing, Pricing strategy fundamentals of consumer banking business
Strong business acumen and ability to translate technical details, observations and inferences into business language.
Preferred qualifications, capabilities, and skills
Strong analytical and problem-solving abilities.
Excellent communication, interpersonal, and relationship-building skills.
Preferably from financial services firms and/or from top banks and consulting firms with Credit Card Domain and Pricing Business knowledge
Experience in working on automation tools like selenium and Alteryx preferred.