Data Scientist Analyst

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.