2027 Data & AI Program - Full Time - Analyst - United States

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Corporate Sector

This role is for an Analyst in JPMorgan Chase's Data & AI Program, focusing on building and deploying end-to-end AI/ML solutions for financial services. The role involves developing production-ready models, integrating data, running experiments, and supporting data governance within a regulated environment. It emphasizes building intelligent systems, generative AI, and agent-based solutions, with a strong focus on delivering business outcomes and actionable insights.

What you'd actually do

  1. Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions.
  2. Work hands-on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision-making.
  3. Apply data, statistics, and modeling to solve complex problems and generate actionable insights.
  4. Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions.
  5. Support data governance, risk management, and data standards to help ensure data is secure, trusted, and ready for artificial intelligence use.

Skills

Required

  • 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.

Nice to have

  • Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with 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.

What the JD emphasized

  • production-ready models
  • agent-based solutions
  • generative artificial intelligence
  • data governance
  • risk management
  • regulatory compliance

Other signals

  • building end-to-end data, analytics, and artificial intelligence and machine learning solutions
  • develop production-ready models
  • integrate diverse data
  • run experiments tied to key performance indicators
  • deliver actionable insights
  • build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions
  • 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
  • Data & AI sits at the core of how we operate, innovate, and serve our clients
  • harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real-world impact across global markets
  • developing end-to-end data platforms, applying machine learning, and generating insights that shape everything from client experiences to risk management and operations
  • deploying AI models and visualization tools
  • transform complex data into actionable intelligence
  • Data & AI at JPMorganChase is not experimental—it is embedded across the firm
  • capabilities support critical functions including trading, fraud prevention, wealth management, and cybersecurity, delivering measurable value at enterprise scale
  • operate on modern, secure platforms that enable AI and analytics at scale, providing governed environments where teams can build, analyze, and deploy solutions responsibly
  • combine technical excellence with strong governance, privacy, and risk management standards
  • partner across lines of business and disciplines—bringing together engineers, data scientists, and domain experts to solve complex problems and deliver meaningful outcomes for clients and communities worldwide
  • contribute to shaping the future of financial services—working on high-impact solutions