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 JPMorgan Chase Institute, you will conduct economic research using proprietary big data within JPMorgan Chase, under the direction of a Research Director to deliver quality, rigorous analysis and insights and seek to leverage a strong background in economics or another quantitative social science discipline, with experience in statistics, data analysis, and/or computer programming. 

Job Responsibilities:

Work alongside the Institute’s research leaders, academic fellows, and internal thought-leaders to create cutting-edge analyses, using large data sets of de-identified banking records in combination with publicly available data that add to both the public and academic discourse.  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 areas such as household finance (dynamics of income, spending, and liquidity), investor trading flows, small- and medium-sized businesses, and financial and housing markets.   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 (e.g., greater than 1,000,000 observations).   Strong programming experience in a language commonly used in empirical research (e.g., Python, Scala, SQL, R, SAS, Stata, 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:

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) and Python or SQL experience preferred. Prior experience working with financial services, other administrative data sets, quantitative research, and/or longitudinal studies is a plus. Familiarity with the retail banking and investing industries and/or related economic policy issues is a plus.