ChaseNet Data Scientist

JPMorgan Chase & Co. • Plano, TX

21h

About The Position

As a ChaseNet Data Scientist, Associate in the ChaseNet Analytics team, you will work with large and complex payments datasets to generate insights that inform pricing strategy, merchant profitability, portfolio performance, and strategic decision-making. ChaseNet is JPMorganChase's proprietary closed-loop payments network connecting Chase-issued cardholders directly with merchants acquired by Chase Merchant Services. It supports large U.S. merchants and is central to Chase's merchant services growth strategy.

Requirements

• Undergraduate degree.
• At least 3 years of experience is stated in the required qualifications; the detailed qualifications section also describes 3+ years in payments and/or technology-enabled industries as preferred rather than required.
• Understanding of SQL-based coding and Python.
• Consulting orientation and ability to influence internal and external business partners.
• Understanding of the payments value chain, including merchants, brands, acquirers, networks, and issuers.
• Experience working in large teams in an advanced analytical environment.
• Experience with emerging technologies related to insights and rapid prototyping in Tableau.
• Ability to synthesize data into clear, streamlined, actionable messages.
• Experience creating business initiatives and communicating ideas with a digitally focused, data-driven mindset.
• Ability to develop relationships with a wide array of partners, executives, and customers.

Nice To Haves

• MBA preferred.
• AI/ML and automation skills, AI/ML solutions creation, and software engineering skills.
• Experience in the payments industry and/or technology-enabled industries (preferred but not required).
• Working knowledge of the credit card value chain, including issuers, acquirers, networks, processors, and merchants.
• Familiarity with network fees and interchange economics, including interchange categories, assessments, and network-level fees.
• Familiarity with processing fees and merchant pricing constructs such as interchange-plus, blended pricing, and tiered pricing.
• Exposure to ChaseNet or other closed-loop or on-us payment constructs.

Responsibilities

• Manage, transform, and analyze large payments datasets to support ChaseNet pricing, profitability, and portfolio optimization initiatives.
• Design, build, and maintain recurring and ad-hoc reporting on ChaseNet performance, revenue drivers, and merchant economics.
• Develop analytical frameworks and models to evaluate pricing scenarios, interchange impacts, repricing opportunities, and merchant business cases.
• Partner with product, pricing, finance, and relationship management teams to turn business questions into structured analyses and clear recommendations.
• Write efficient, well-documented SQL and Python code to extract, process, and analyze data from large-scale payments platforms.
• Support governance, quality control, and process improvement across analytics workflows, including automation and documentation.
• Communicate findings to technical and non-technical audiences through written narratives, visualizations, and presentations.
• Contribute to innovation initiatives, including use of AI and emerging technologies to improve analytical capabilities and decision support.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level