About the role
from listingPromote unique research with experts in data, economics, industry, and policy using proprietary data insights.
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 Data Scientist Analyst for the JPMorganChase Institute , you will conduct economic research using proprietary big data within JPMorganChase, under the direction of a Research Director, to deliver 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 and applied microeconomic topics.
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.