Join the Cards Data & Analytics team at JPMorgan Chase, where we leverage data science, research, and business acumen to deliver impactful solutions.
As a Data Scientist Senior Associate within the Co-Brand Card Analytics team, you will be responsible to lead projects that integrate agentic workflows, business intelligence platforms, and advanced analytics solutions. You will own end-to-end delivery of segmentation models, strategic analyses, and AI-driven insights that inform partnership strategies and portfolio decisions. Utilizing tools such as Databricks, Python, Tableau and Alteryx, you will develop data pipelines and dashboards, prototype AI-driven solutions, and translate complex data into strategic recommendations for Co-Brand business partners.
Job Responsibilities
- Be part of the Segmentation and Strategic Analytics team and drive analytics-driven business strategy and growth for Co-Brand Card partnerships.
Learn our business and how JPMorgan delivers value for our customers and partners through Co-Brand credit card products. - Leverage your technical skillset, domain expertise, and curiosity to identify opportunities to help grow our Co-Brand Cards business through advanced segmentation and strategic analytics.
- Build and rigorously test new data and AI driven insights, owning the end-to-end analytical lifecycle from hypothesis to production-ready deliverables.
- Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and scale to support evolving Co-Brand partnership needs.
- Build and test AI agents. Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and mentor junior team members on best practices.
- Use tools like Databricks, Python, Tableau and Alteryx to create data pipelines and dashboards. Support AI-driven insights and business recommendations for Co-Brand strategic initiatives.
- Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance. Drive continuous improvement of analytical methodologies.
- Lead workstreams on agile teams to support data-driven decision-making, customer segmentation, and strategic partner relationship management.
Required Qualifications, Capabilities, and Skills
- Degree in a scientific field (Computer Science, Engineering, Data Science, Statistics, Mathematics, etc.) with 6+ years of experience in AI/ML or Data Science.
- Experience working in Card, Co-Brand, or other Financial Services verticals.
- Strong understanding of AI models, including large language model (LLM) capabilities and limitations, and experience applying them to business problems.
- Proven experience with statistical analysis, data-driven decision-making, customer segmentation, and pattern identification.
- Strong creative problem-solving skills with the ability to translate complex analytical findings into actionable business recommendations.
- Proficiency in Python and SQL with demonstrated ability to build production-quality analytical solutions.
- Experience with cloud platforms such as AWS, GCP, or Azure, and SDLC concepts.
- Strong communication and collaboration skills, with the ability to present findings to senior stakeholders and work effectively across teams.
- Experience building and contributing to agentic AI architectures and automation frameworks.
Preferred Qualifications, Capabilities, and Skills
- Experience in customer segmentation, strategic analytics, or related fields within financial services.
- Hands-on experience with AWS, Databricks for data management, large-scale data processing, and advanced analytics.
- Understanding of quality assurance practices, model validation, and the importance of data integrity in production environments.
- Deep knowledge of machine learning/data science theory, techniques, and tools with experience deploying models at scale.
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
- Degree in a scientific field (Computer Science, Engineering, Data Science, Statistics, Mathematics, etc.) with 6+ years of experience in AI/ML or Data Science
- Experience working in Card, Co-Brand, or other Financial Services verticals
- Strong understanding of AI models, including LLM capabilities and limitations, and experience applying them to business problems
- Proven experience with statistical analysis, customer segmentation, pattern identification, and data-driven decision-making
- Proficiency in Python and SQL with ability to build production-quality analytical solutions
- Experience with cloud platforms such as AWS, GCP, or Azure, and SDLC concepts
- Experience building and contributing to agentic AI architectures and automation frameworks
- Strong communication and collaboration skills, ability to present findings to senior stakeholders
- Experience in customer segmentation, strategic analytics, or related fields within financial services
- Hands-on experience with Databricks for data management and large-scale data processing
- Understanding of quality assurance practices, model validation, and data integrity in production environments
- Deep knowledge of machine learning/data science theory, techniques, and tools with experience deploying models at scale
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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