JPMC Institute Research Associate
Listed on 2026-07-19
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Research/Development
Data Scientist, Research Analyst
Research Associate for the JPMorgan
Chase Institute
Join a team using proprietary data, expertise, and market access to help decision makers make informed economic decisions to advance prosperity for all.
As a Research Associate for the JPMorgan
Chase Institute, you will conduct economic research using proprietary big data within JPMorgan
Chase, under the direction of a Research Director, to deliver high-quality, rigorous analysis and insights. This role is ideal for individuals seeking to leverage a strong background in economics or another quantitative discipline, with experience in statistics, data analysis, and computer programming. It is also well-suited for those seeking to enhance their research skills and gain insights into economic analysis within a leading financial institution.
An entrepreneurial and proactive mindset, along with strong communication skills, will be key to your success in this role.
Job Responsibilities:
- Work alongside the Institute's research leaders, academic fellows, and internal thought-leaders to create cutting-edge analyses that add to both the public and academic discourse, using large data sets of de-identified banking records in combination with publicly available data.
- Extract original insights from large panel data sets using big data programming languages on a public cloud platform and produce empirical insights and impactful visual analytics.
- Gain and apply topic-specific knowledge in household finance and applied microeconomic topics.
- Communicate analytical insights and be directly involved in the research process from ideation through final report editing.
- Conduct literature reviews, edit and draft reports, and participate in a vibrant, collaborative research community.
Required Qualifications, Capabilities, and Skills:
- Bachelor's degree in economics, public policy, statistics, or related field.
- Experience working with big data sets.
- Strong programming experience in a language commonly used in empirical research (e.g., Python, Stata, R, Scala, SQL, SAS, C++).
- Strong written and verbal communication skills and experience conveying complex ideas in a team setting.
- Strong sense of intellectual curiosity and desire to be directly involved in the public-oriented mission of the Institute.
- Capacity to manage multiple priorities and work in a high-performance professional environment, with quick turn-around and changing priorities.
- Commitment to intellectual rigor and observance of compliance and data privacy controls.
Preferred Qualifications , Capabilities, and
Skills:
- Graduate degree in economics, public policy, statistics, or related field is a plus.
- Experience with big data computing on a public cloud platform (e.g. Spark, PySpark, and AWS) is a plus.
- Experience working with technical collaboration tools (Git, Jira) is a plus.
- Prior experience working with financial services or other administrative data sets is a plus.
- Experience with quantitative research, especially methods used for causal inference, is a plus.
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