Pay
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Decision Science Vice President – Finance Analytics
OH, United States
Actively hiring, first seen by us 3 hours ago- Pay
- Pay not listedSimilar roles state $154K–$226K
- 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
- Employer’s visa record
- 272 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingYou will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes.
You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production.
From the employer’s posting
Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes. This is an opportunity to grow your analytics and machine learning skills while delivering capabilities used across the business. As a Decision Science Vice President at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle—from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment. You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production.
Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes. This is an opportunity to grow your analytics and machine learning skills while delivering capabilities used across the business. As a Decision Science Vice President at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle—from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment. You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production. Job responsibilities
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 13, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 14, 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 0
Early. Similar jobs usually come down between day 8 and day 57.
At JPMorgan Chase, jobs usually come down by about day 15.
From 9,462 similar postings that came down, and 1,000 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
358 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
- SAS
- SQL
- Databricks
- Streamlit
- AWS
Where the posting names them
- Validate that production results comply with business requirements and expected outcomes, and support ongoing monitoring and verification of production processes - Design and optimize complex Structured Query Language (SQL) queries and Python scripts to support data validation and exploration, and prototype solutions for new requests and enhancements Required qualifications, capabilities and skills
- Experience with statistical and experimental techniques such as controlled testing (A/B testing) - Proficiency in analytics and programming tools to drive business outcomes, including Structured Query Language (SQL) and Python - Strong problem-solving, critical thinking, communication, and organizational skills, with the ability to articulate options and results to senior stakeholders
- Experience supporting large-scale data projects - Proficiency with additional analytics tools such as SAS or R - Experience with Databricks, Streamlit, and Amazon Web Services cloud environments
- Proficiency with additional analytics tools such as SAS or R - Experience with Databricks, Streamlit, and Amazon Web Services cloud environments - Experience driving adoption of artificial intelligence and machine learning solutions, including stakeholder enablement and change management
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 Leadership roles
New Data Leadership postings at the employers we follow are about the same 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 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
Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes. This is an opportunity to grow your analytics and machine learning skills while delivering capabilities used across the business.
As a Decision Science Vice President at JPMorganChase within the Finance Decision Optimization team, you will support the end-to-end model development lifecycle—from exploratory analysis to model testing to ongoing performance monitoring and verification of production processes. You will translate business needs into technical requirements and prototype solutions, partner closely with modeling and technology teams, and deliver analytics that drive measurable business outcomes in a fast-paced environment. You will develop a strong understanding of how finance teams use data and models to make decisions, and you will help ensure solutions perform as intended in production.
Job responsibilities
- Drive business outcomes and decision-making through data and analytics by using enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis
- Build deep knowledge of supported business areas to deliver pragmatic, effective solutions
- Translate business needs into technical requirements and collaborate with technology teams to deliver capabilities end-to-end
- Partner with end users and data product owners during user acceptance testing to confirm delivered functionality meets requirements
- Partner with quantitative modeling teams to develop and refine statistical models, continuously evaluating performance and effectiveness
- Validate that production results comply with business requirements and expected outcomes, and support ongoing monitoring and verification of production processes
- Design and optimize complex Structured Query Language (SQL) queries and Python scripts to support data validation and exploration, and prototype solutions for new requests and enhancements
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- 3+ years of experience at a financial institution or consulting firm in corporate finance, banking, treasury, data analytics, or quantitative modeling
- Strong analytical skills with demonstrated ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy
- Experience with statistical and experimental techniques such as controlled testing (A/B testing)
- Proficiency in analytics and programming tools to drive business outcomes, including Structured Query Language (SQL) and Python
- Strong problem-solving, critical thinking, communication, and organizational skills, with the ability to articulate options and results to senior stakeholders
- Ability to collaborate effectively with technical partners (including data engineering and quantitative modeling) and translate data into concise, actionable recommendations
Preferred qualifications, capabilities and skills
- Experience supporting large-scale data projects
- Proficiency with additional analytics tools such as SAS or R
- Experience with Databricks, Streamlit, and Amazon Web Services cloud environments
- Experience driving adoption of artificial intelligence and machine learning solutions, including stakeholder enablement and change management
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
OH, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.