JPMorgan JP Morgan Chase Institute - Research Associate 

United States, District of Columbia, Washington 

329557607

As a Research Associate, within the JPMorgan Chase Institute, you will conduct economic research on small businesses and local economic development using proprietary big data from JPMorgan Chase.

Job Responsibilities:

• Collaborate with the Institute’s research lead, research director, academic fellows, and internal thought leaders to develop cutting-edge analyses.
• Utilize large datasets of de-identified banking records, either independently or in conjunction with publicly available data, to contribute to both public and academic discourse.
• Work with extensive datasets using big data programming languages on a public cloud platform, producing empirical insights and impactful visual analytics.
• Acquire and apply topic-specific knowledge in areas such as small business economics and urban economics.
• Communicate analytical insights and actively participate in the research process.
• Conduct literature reviews, and edit and draft reports and other research materials.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in economics, public policy, statistics, or a related field.
• Experience working with large datasets (e.g., greater than 1,000,000 observations).
• Strong programming experience in languages commonly used in empirical research (e.g., Python, Scala, SQL, R, SAS, Stata, C++)
• Excellent written and verbal communication skills, with experience conveying complex ideas to non-technical audiences.
• A strong sense of intellectual curiosity and a desire to be directly involved in the public-oriented mission of the Institute
• Commitment to intellectual rigor and adherence to compliance and data privacy controls.
• An entrepreneurial and proactive mindset, coupled with strong communication skills, is essential for success in this role.

Preferred Qualifications, Capabilities, and Skills:

• Preference for Python and/or SQL.
• Experience with big data computing on a public cloud platform (e.g., Spark, AWS) is advantageous.
• Experience with technical collaboration tools (e.g., Git, Jira) is beneficial.
• Prior experience working with financial services or other administrative datasets is a plus.
• Experience with quantitative research or longitudinal studies is desirable.