Data Scientist Associate

JPMorgan Chase & Co. • Washington, DC

2h • $104,500 - $140,000

About The Position

As a Research Associate for the JPMorganChase Institute, you will conduct economic research using proprietary big data within JPMorganChase under the direction of a Research Director. You will deliver high-quality, rigorous analysis and insights, working with research leaders, academic fellows, and internal thought-leaders. The role uses large datasets of de-identified banking records together with publicly available data to produce analyses that contribute to public and academic discourse.

This role suits candidates with a strong background in economics or another quantitative discipline, including experience in statistics, data analysis, and computer programming. It offers an opportunity to strengthen research skills and gain insight into economic analysis within a leading financial institution. An entrepreneurial, proactive mindset and strong communication skills are important to success.

The position involves applying topic-specific knowledge in household finance and applied microeconomics, communicating analytical insights, and contributing throughout the research process—from ideation through final report editing. It also includes literature reviews, report drafting and editing, and participation in a collaborative research community.

Requirements

• Bachelor’s degree in economics, public policy, statistics, or a related field.
• Experience working with big data sets.
• Strong programming experience in a language commonly used in empirical research, such as Python, Stata, R, Scala, SQL, SAS, or C++.
• Strong written and verbal communication skills and experience conveying complex ideas in a team setting.
• Intellectual curiosity and desire to contribute directly to the Institute’s public-oriented mission.
• Ability to manage multiple priorities and work in a high-performance professional environment with quick turnaround and changing priorities.
• Commitment to intellectual rigor and observance of compliance and data privacy controls.

Nice To Haves

• Graduate degree in economics, public policy, statistics, or a related field.
• Experience with big data computing on a public cloud platform, such as Spark, PySpark, and AWS.
• Experience with technical collaboration tools such as Git and Jira.
• Prior experience working with financial services or other administrative datasets.
• Experience with quantitative research, especially methods used for causal inference.

Responsibilities

• Work with the Institute’s research leaders, academic fellows, and internal thought-leaders to create analyses using large datasets of de-identified banking records and publicly available data.
• Extract insights from large panel datasets using big data programming languages on a public cloud platform, and produce empirical insights and visual analytics.
• Gain and apply topic-specific knowledge in household finance and applied microeconomic topics.
• Communicate analytical insights and participate directly in the research process from ideation through final report editing.
• Conduct literature reviews, edit and draft reports, and participate in a collaborative research community.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level