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You can help shape how data and AI drive decisions across the Credit Card business at JPMorganChase. You will work on high-impact problems end-to-end—translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

• Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
• Drive data science and analytics strategies, including recommendations on analytical products and standards.
• Help partners define business problems and scope analytical solutions.
• Build an understanding of problem domains and available data assets.
• Research, design, implement, and evaluate analytical approaches and models, including Generative AI–based methods.
• Perform exploratory statistics and data‑mining tasks on diverse datasets.
• Communicate findings and obstacles to stakeholders to drive delivery to market.
• Develop subject‑matter expertise in financial and operational domains.
• Code solutions using strong programming skills.
• Collaborate across teams to deliver the best solutions for clients.

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or an advanced degree and 2+ years of experience.
• Exceptional analytical, quantitative, problem‑solving, and communication skills.
• Intellectual curiosity for solving business problems.
• Leadership and collaboration skills.
• Knowledge of statistical software (for example, Python, R, SAS) and data‑querying languages (for example, SQL).
• Familiarity with Generative AI and prompt‑engineering basics (prompt design, evaluation, guardrails).
• Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
• Ability to convey complex information to technical and non‑technical audiences.

• Experience with large language model‑enabled applications such as retrieval‑augmented generation, classification or extraction from unstructured text, or agent‑like workflows; exposure to evaluation methods for quality, cost, and latency.
• Understanding of key drivers within the credit card profit and loss statement.
• Financial services background.
• Master of Science degree or equivalent.

We offer a competitive total rewards package that includes base salary determined by role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity. Additional 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. Details 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. 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.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender identity, or other protected status. We recognize disabilities and prefer accommodating applicants with reasonable adjustments. Veterans are encouraged to apply.