JPMC Institute Research Associate

JPMorgan Chase & Co.•Washington, DC

About The Position

Join the middle market business research team using proprietary data and market expertise to help policymakers make informed economic decisions to advance prosperity for all. As a Data Scientist Associate for the JPMorganChase Institute, you will conduct economic research using proprietary big data within JPMorganChase, under the direction of a Research Director and Research Lead to deliver quality, rigorous analysis and insights about midsize firms (also known as the middle market). This role is ideal for individuals seeking to leverage a strong background in economics or another quantitative social science discipline, with experience in statistics, data analysis, and/or 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.

Requirements

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, SQL, Scala, R, SAS, Stata, C++). Python, SQL, or Scala experience preferred.
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.

Nice To Haves

Experience with big data computing on a public cloud platform (e.g. Spark, PySpark, Databricks, 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 or longitudinal studies is a plus.
Familiarity with commercial banking and/or corporate finance is a plus.
Familiarity with economic policy issues is a plus.

Responsibilities

Work alongside the Institute’s research leaders 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 about midsize businesses. Gain exposure to other Institute research areas such as household finance (dynamics of income, spending, and liquidity), investor trading flows, small 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.