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 within the JPMorganChase Institute, you will conduct economic research using proprietary big data within JPMorganChase, working under the guidance of a Research Director to produce 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, such as spending behavior, debt use, gig work, and precautionary savings.
• 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.