Data & AI Program Analyst

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NYColumbus, OHChicago, ILPlano, TXDelaware, DEPalo Alto, CA
Employment
Full-time
Posted
15 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $164k
$106k most similar roles pay here $212k

This listing doesn't post a salary. Most similar roles pay $126,800–$202,000.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Data & AI Program Analyst

As a Full-Time Analyst in the Data & AI Program, you will join collaborative teams to build end-to-end data, analytics, and artificial intelligence solutions that translate business objectives into measurable outcomes. You will design scalable data platforms and pipelines, develop production-ready machine learning models, create intuitive dashboards, and support critical data governance, privacy, and compliance standards. Your daily work involves building intelligent systems like generative AI and agent-based solutions to automate processes and enhance decision-making. To succeed, you will utilize a modern technology stack including AWS, CoPilot, Snowflake, DataBricks, and LLMs, while applying Python and SQL skills. You will solve complex problems by using statistics and modeling to test hypotheses and analyze trends. This role focuses on the intersection of technology and business to improve risk management, fraud prevention, and client experiences through actionable intelligence.

What you'll do

  • Build machine learning models, generative AI systems, and agent-based solutions to drive business outcomes.
  • Design, develop, and deploy artificial intelligence capabilities to automate processes and enhance decision-making.
  • Apply data science, statistics, and modeling techniques to solve complex problems and generate actionable insights.
  • Develop predictive models and test hypotheses to analyze trends for data-driven decision making.
  • Support data governance, risk management, and privacy standards to ensure data is secure and compliant.
  • Implement controls and frameworks to improve data quality and ensure solutions are scalable and safe.
  • Translate business objectives into testable hypotheses and analytical plans for stakeholders.
  • Build end-to-end data platforms and pipelines using tools like AWS, Snowflake, and Databricks.

What we're looking for

  • Pursue a Bachelor’s or Master’s degree in a quantitative or technical discipline such as Computer Science, Data Science, Mathematics, or Statistics.
  • Graduate between December 2026 and August 2027.
  • Must be authorized to work permanently in the United States.
  • Knowledge of machine learning and data science principles including prompt engineering is preferred.
  • Proficiency in programming languages such as SQL and Python is preferred.
  • Experience with tools like AWS, CoPilot, Snowflake, DataBricks, and LLMs is preferred.
  • Understanding of data management, governance, privacy, and regulatory compliance is preferred.
  • Strong quantitative problem-solving and communication skills to translate technical work for business stakeholders are preferred.

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