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Closed listing

JPMorgan Chase

Data Scientist Lead-Vice President

New York, NY, United States

Base Pay/Salary New York,NY $147,250.00-$215,000.00

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: Base Pay/Salary New York,NY $147,250.00-$215,000.00
Experience: Degree in an applicable quantitative discipline and 5+ years of relevant professional experience
Posting language: English
Posted: Nov 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Data Scientist Lead-Vice President

New York, NY, United States

Job Information

Job Identification 210806845
Job Category Predictive Science
Business Unit Consumer & Community Banking
Posting Date 11/05/2026, 03:00 PM
Locations 277 Park Ave, New York, NY, 10172, US
Job Schedule Full time
Base Pay/Salary New York,NY $147,250.00-$215,000.00

Job Description

Drive the future of data-driven decision making - join us to transform raw information into actionable insights that power our understanding of the economy and fuel business innovation.

The Center for Economic Intelligence (CEI) is a new organization that monitors, coordinates and develops a holistic internal & external view of the financial well-being of consumers and businesses through the lens of JPMC and third-party data. As the nation’s largest bank, we are uniquely positioned to inform public perspective on the direction of the economy. During a time of unprecedented macroeconomic uncertainty, identifying emerging trends and economic relationships is of heightened importance.

As a Data Scientist in the Center for Economic Intelligence team, you will help drive the end-to-end data science strategy and execution from data curation, analytics and modeling in collaboration with economic domain experts. You will use the latest LMM models to power code development, statistical analysis, visualization and narrative development of macroeconomic and financial data while using proprietary JPMC tools along with capabilities enabled through the leading data platforms (e.g., Snowflake, Databricks, AWS, etc.).

Job Responsibilities:

Plan and lead complex analytics projects from inception to delivery in partnership with other data scientists, economists, product owners, and strategists on the team
Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysis
Design and implement statistical, machine learning, and generative AI–driven solutions to uncover patterns, test hypotheses, and generate forecasts
Recognize and communicate meaningful trends/patterns in data as it relates to business health using solid data support
Collaborate and explore emerging trends in income, spend, savings and credit with other economists, econometricians and data scientists
Utilize advanced analytical and econometric techniques to uncover detailed explanations of broader economic trends
Identify and validate data sources and quality
Contribute to the critical thinking and thrive in a fast-paced, competitive environment that prides itself on attention to detail and results
Develop and present insights clearly through reports, visualizations, and presentations tailored to both technical and non-technical senior executive audiences
Champion the use of LLM and GenAI through all aspects of the role to drive efficiency, innovation and accelerate our strategic vision

Required Qualifications, Capabilities and Skills:

Degree in an applicable quantitative discipline and 5+ years of relevant professional experience
Experience working with large, complex, and often unstructured datasets in applied research or real-world business contexts
Strong programming skills in Python, SQL, Spark, and/or R. AWS, Snowflake, and/or databricks knowledge desirable
Deep knowledge of statistics and data mining
Proficient leveraging Generative AI tools to speed and enhance analysis
Ability to design and deliver analytical solutions with clear commercial impact, from methodology selection through implementation, validation, monitoring and refinement
Exceptional communication abilities and capable of translating complex quantitative findings for both technical and non-technical executive audiences
Organizational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment and work independently while engaging colleagues and managers for alignment and feedback

Preferred Qualifications, Capabilities, and Skills:

Experience in economics or the financial services industry
Expertise leveraging econometric modeling tools and techniques is highly desired

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).

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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More about this job

Skills

Decision making
Collaboration
Statistics
Snowflake
Databricks
AWS
Machine learning
Critical thinking
Attention to detail
Presentation skills
Research
Python
SQL
Apache Spark
R
Data mining
Communication skills
Organizational skills
Adaptability
Work independently
Documentation
CPT
Sales
Customer service
Data analysis
Reporting

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