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Based on 240 similar postings.
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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
1098 open roles
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As a Summer Analyst in the Data & AI Program, you will join agile 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 ensure robust data governance and privacy standards. Your daily work involves integrating diverse datasets, running experiments tied to key performance indicators, and developing predictive models to solve complex problems. To achieve these goals, you will utilize a modern technology stack including AWS, CoPilot, Snowflake, DataBricks, and LLMs, while applying Python and SQL. The role focuses on the technical challenge of transforming complex data into actionable intelligence to automate processes, enhance decision-making, and manage risk within a highly regulated environment.
Build machine learning models and generative AI solutions to drive measurable business outcomes.
Design 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 help teams make data-driven decisions.
Manage data governance, risk management, and quality standards to ensure secure and compliant data usage.
Design scalable data platforms and pipelines using tools like AWS, Snowflake, and Databricks.
Translate complex business objectives into testable hypotheses and analytical plans for stakeholders.
What we're looking for
Pursuing a Bachelor’s or Master’s degree in a quantitative or technical discipline such as Data Science, Machine Learning, Computer Science, or Mathematics.
Graduating between December 2027 and August 2028.
Authorized to work permanently in the United States.
No prior work experience is required.
Knowledge of machine learning, data science principles, and prompt engineering with experience handling large datasets (preferred).
Proficiency in programming languages such as SQL and Python (preferred).
Experience with data and artificial intelligence tools including AWS, CoPilot, Snowflake, DataBricks, and LLM (preferred).
Understanding of data management, governance, pipelines, privacy, and regulatory compliance (preferred).
Python
C++
Java
SQL
R
MATLAB
Machine Learning
Data Science
Time-series Analysis
Optimization
Statistical Learning
Tableau
Power BI
Portfolio Construction
Quantitative Research
Python
C++
Machine Learning
Data Science
Quantitative Modeling
Statistical Modeling
Algorithmic Trading
Financial Engineering
Portfolio Optimization
Risk Management
Options Pricing Theory
Alpha Research
Data Analytics