Pay
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate
Columbus, OH, United States
Open 3 months, first seen by us 93 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 postingRun end-to-end data analysis to improve LLM and GenAI model performance on AWS and on-premises
Find customer and specialist friction points across interaction channels
Automate reporting and run business driver analysis on complex datasets
Present clear, actionable insights to peers, executives and business partners
Write SQL and Python code and document data dictionaries and model outputs
From the employer’s posting
Conduct end-to-end data analysis to enhance LLM and GenAI model performance across both AWS and on-premises environments.
Utilize advanced methods to identify customer and specialist friction points across multiple interaction channels.
Transform complex datasets, automate reporting, and perform business driver analysis to improve operational processes and applications.
Create and present clear, actionable insights to peers, executive leadership, and business partners.
Develop SQL and Python codebases, and document data dictionaries and model outputs in a clear and concise manner.
Education & alternatives
Required qualifications, capabilities, and skills: - Bachelor’s degree in Economics, Data Analytics, Statistics, or a STEM related field; 6 years of work experience in Analytics or Master’s degree in Economics, Data Analytics, Statistics, or a STEM related field; 2 year of work experience in Analytics - Solid programming skills in SQL.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 93 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Aug 11, 202693 days ago
- Recorded sightings
- 202
- Last seen by us
- Nov 12, 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 93
Up longer than most. Similar jobs usually come down between day 5 and day 43.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 14,128 similar postings that came down, and 983 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
362 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 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
- SQL
- AWS
- Excel
- Snowflake
- Spark
- Tableau
- LightGBM
- XGBoost
Where the posting names them
- Proactively investigate and resolve issues in data collection, model development, and production phases. - Develop SQL and Python codebases, and document data dictionaries and model outputs in a clear and concise manner. - Serve as a member of agile, digital, or scrum teams, providing data and analytics support for new product development.
- Solid programming skills in SQL. - Hands-on experience with Excel PivotTables, PowerPoint presentations, and data wrangling and visualization tools including Tableau, Alteryx and Python Jupyter Notebook. - Trained in multivariate statistics, regression analysis, Python, SQL and visualization tool including Tableau.
- Hands-on experience with Excel PivotTables, PowerPoint presentations, and data wrangling and visualization tools including Tableau, Alteryx and Python Jupyter Notebook. - Trained in multivariate statistics, regression analysis, Python, SQL and visualization tool including Tableau. - Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.
- Bachelor’s degree in Economics, Data Analytics, Statistics, or a STEM related field; 6 years of work experience in Analytics or Master’s degree in Economics, Data Analytics, Statistics, or a STEM related field; 2 year of work experience in Analytics - Solid programming skills in SQL. - Hands-on experience with Excel PivotTables, PowerPoint presentations, and data wrangling and visualization tools including Tableau, Alteryx and Python Jupyter Notebook.
Job Responsibilities: - Conduct end-to-end data analysis to enhance LLM and GenAI model performance across both AWS and on-premises environments. - Transform complex datasets, automate reporting, and perform business driver analysis to improve operational processes and applications. Utilize advanced methods to identify customer and specialist friction points across multiple interaction channels.
- Trained in multivariate statistics, regression analysis, Python, SQL and visualization tool including Tableau. - Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake. - Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods (DD, PM, NN).
- Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake. - Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods (DD, PM, NN). - Experience with Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM).
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 23% 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 team that unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers.
As a Quant Analytics Senior Associate, within the MLIO Analytics team, you will play a key role in optimizing Conversational Insights and Insights for Coaching products, span the entire problem-solving lifecycle, including: identifying gaps through thorough and inquisitive analyses, conducting root cause analyses using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels.
Job Responsibilities:
- Conduct end-to-end data analysis to enhance LLM and GenAI model performance across both AWS and on-premises environments.
- Transform complex datasets, automate reporting, and perform business driver analysis to improve operational processes and applications. Utilize advanced methods to identify customer and specialist friction points across multiple interaction channels.
- Collaborate with cross-functional teams to integrate business assumptions with production data, validate hypotheses, and identify production flaws.
- Create and present clear, actionable insights to peers, executive leadership, and business partners.
- Proactively investigate and resolve issues in data collection, model development, and production phases.
- Develop SQL and Python codebases, and document data dictionaries and model outputs in a clear and concise manner.
- Serve as a member of agile, digital, or scrum teams, providing data and analytics support for new product development.
Required qualifications, capabilities, and skills:
- Bachelor’s degree in Economics, Data Analytics, Statistics, or a STEM related field; 6 years of work experience in Analytics or Master’s degree in Economics, Data Analytics, Statistics, or a STEM related field; 2 year of work experience in Analytics
- Solid programming skills in SQL.
- Hands-on experience with Excel PivotTables, PowerPoint presentations, and data wrangling and visualization tools including Tableau, Alteryx and Python Jupyter Notebook.
- Trained in multivariate statistics, regression analysis, Python, SQL and visualization tool including Tableau.
- Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.
- Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods (DD, PM, NN).
- Experience with Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM).
Preferred qualifications, capabilities, and skills:
- Extensive experience in consumer banking units such as operations, servicing, collections, or marketing.
- Proficient in big data ETL processes for both structured and unstructured databases.
- Good understanding of IT processes and databases, with the ability to work directly with data owners and custodians, contributing to the development of analytics data hubs.
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
Columbus, OH, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Good understanding of IT processes and databases, with the ability to work directly with data owners and custodians, contributing to the development of analytics data hubs. 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).