JP Morgan Chase Institute - Research Associate

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 Institutes 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:

• Bachelors 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.