Our Payments Data and Analytics team is responsible for delivering high impact insights to help grow our payments business, driving our Payments data strategy, and creating innovative data-driven products for our clients and internal partners. We combine data science/AI/ML expertise, consultative problem solving, design thinking and a deep understanding of technology to drive value.
As a Data Scientist in the Payments Data and Analytics team, you will collaborate with our global data science and product teams to deliver high-impact AI and analytics use cases and build data-driven products that help internal sales and product teams sell more effectively.
Job responsibilities:
- Explore how money moves through our network and around the world, partnering closely with teams that sell, build, and deliver Payments products (including consumer-to-business payments, FX, trade finance, liquidity and more) to translate data into insights that shape the strategy and direction of JPMorgan Chase products.
- Collaborate with product managers to design and deliver internal, data-driven products and build robust data assets that power scalable analytical solutions.
- Identify and evaluate opportunities to integrate agentic AI workflows to improve efficiency, decisioning, and execution.
- Apply a management-consulting approach to identify, size, and prioritize use cases - grounded in impact orientation, strong business understanding, program management discipline, and executive presence.
- Combine rigorous analytical thinking with hands-on technical skills to design solutions and push approaches toward best-in-class outcomes.
- Build strong partnerships with internal stakeholders and deliver insights that increase revenue and improve client outcomes.
- Communicate complex concepts with clarity and concision, tailoring messages appropriately for internal stakeholder and executive audiences.
Required qualifications, capabilities, and skills:
- 4+ years of experience delivering data science and analytics solutions, from problem framing through production deployment.
- Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience).
- Strong hands-on experience with modern data/analytics platforms and tooling (e.g., Databricks, PySpark/Spark, SQL) and data visualization/BI tools (e.g., Tableau).
- Working knowledge of AI-powered solution development, including LLM fundamentals, prompt engineering, retrieval-augmented generation (RAG), and MCP-style integrations.
- Experience building on cloud platforms (e.g., AWS), including deploying and operating data workloads in cloud environments.
Preferred qualifications, capabilities, and skills:
- Strong stakeholder management skills with a track record of building trust-based partnerships across teams and functions.
- Demonstrated experience designing and building agentic AI solutions
- Experience in payments, financial services, fintech or other technology-enabled industries
- Background in management consulting is a plus
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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 for more information about requesting an accommodation.
Skills Required
- 4+ years of experience delivering data science and analytics solutions from problem framing through production deployment
- Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience
- Hands-on experience with modern data and analytics platforms, including Databricks, PySpark or Spark, SQL, and data visualization or BI tools such as Tableau
- Working knowledge of AI-powered solution development, including LLM fundamentals, prompt engineering, retrieval-augmented generation, and MCP-style integrations
- Experience building on cloud platforms such as AWS and deploying and operating data workloads in cloud environments
- Strong stakeholder management skills and a track record of building trust-based partnerships across teams and functions
- Experience designing and building agentic AI solutions
- Experience in payments, financial services, fintech, or other technology-enabled industries
- Background in management consulting
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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