Join the Cards Data & Analytics team at JPMorgan Chase, where we leverage data science, research, and business acumen to promote client-focused innovation.
As a Data Scientist Associate within Card Analytics team, you will work on projects that integrate agentic workflows, business intelligence, data engineering, and data visualization to grow our cards business by translating data into actionable insights You will play a pivotal role in developing our generative AI use cases and approach while focusing on Affluent Segment Analytics. Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers.
Utilizing tools such as Databricks, Python, Tableau and Alteryx, you will develop data pipelines and dashboards, prototype new generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth.
Job Responsibilities
Be part of Affluent Analytics team and drive Analytics driven business strategy growth.
Learn our business and how JPMorgan delivers value for our clients globally
- Leverage your technical skillset and curiosity to identify opportunities to help grow our Cards business
- Build and rigorously test new data and AI driven insights
- Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and expand as needed.
- Build and test AI agents. Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
- Use tools like Databricks, Python, Tableau and Alteryx to create data pipelines and dashboards. Support AI-driven insights and decision-making.
- Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
- Work on agile teams to support data-driven decision-making and client relationship management.
Required Qualifications, Capabilities, and Skills
- Experience working in Card or other Financial Services verticals.
- Degree in a scientific field (Computer Science, Engineering, Data Science, etc.) with 4+ years of experience in AI/ML or data science
- Understanding of AI models, including large language model (LLM) capabilities and limitations.
Experience with statistical analysis, data-driven decision-making, and pattern identification.
- Creative problem-solving skills.
- Experience with Python and SQL.
- Exposure to cloud platforms such as AWS, GCP, or Azure, and SDLC concepts.
- Strong communication and collaboration skills, with the ability to work effectively in teams.
- Willingness to learn and contribute to agentic AI architectures.
Preferred Qualifications, Capabilities, and Skills
- Experience in data analysis, data science, or related fields.
- Familiarity with AWS, Databricks for data management and analysis.
- Understanding of quality assurance practices and the importance of data integrity.
Knowledge of machine learning/data science theory, techniques, and tools.
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
- Experience working in card or other financial services verticals
- Scientific degree such as Computer Science, Engineering, or Data Science
- 4+ years of experience in AI/ML or data science
- Understanding of AI models, including large language model capabilities and limitations
- Experience with statistical analysis, data-driven decision-making, and pattern identification
- Creative problem-solving skills
- Experience with Python and SQL
- Exposure to cloud platforms such as AWS, GCP, or Azure
- Understanding of SDLC concepts
- Strong communication and collaboration skills
- Willingness to learn and contribute to agentic AI architectures
- Experience in data analysis, data science, or related fields
- Familiarity with AWS and Databricks for data management and analysis
- Understanding of quality assurance practices and data integrity
- Knowledge of machine learning and data science theory, techniques, and tools
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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