Analyst, United States

About the Role

In the Data & AI Program at JPMorganChase, you will drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. You will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and help support strong data governance, privacy, and compliance. Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM), you will integrate diverse data, run experiments tied to key performance indicators, and deliver actionable insights.

Key Responsibilities

• Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions.
• Work hands-on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision-making.
• Apply data, statistics, and modeling to solve complex problems and generate actionable insights.
• Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions.
• Support data governance, risk management, and data standards to help ensure data is secure, trusted, and ready for artificial intelligence use.
• Implement controls, improve data quality, and enable frameworks and structures that make solutions safe, scalable, and effective.
• Collaborate in agile teams and contribute ideas from day one in a culture that supports your growth and impact.

Requirements & Tech Stack

• Pursuing a Bachelor's or Master's degree in a quantitative or technical discipline (e.g., AI & Machine Learning, Computer Science, Data Science, Mathematics or Statistics).
• Graduating between December 2026 and August 2027.
• Authorized to work permanently in the United States.
• No prior work experience is required.
• Experience handling large, complex datasets.
• Use programming languages such as SQL and Python.
• Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).
• Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
• Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
• Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
• Translate business objectives into testable hypotheses and analytical plans, develops models and experiments, and communicates actionable recommendations to stakeholders.

Locations

• New York Metro
• Columbus, OH
• Chicago, IL
• Plano, TX
• Delaware Metro
• Palo Alto, CA