Data Scientist Associate at JPMC Candidate Experience page

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Economics, Public Policy, Statistics, Data Analysis, Computer Programming, Big Data, Python, Stata, R, SQL, SAS, C++, Communication, Intellectual Curiosity, Research Skills, Data Privacy

Industry

Financial Services

Description

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 JPMorganChase Institute, you will conduct economic research using proprietary big data within JPMorganChase, working under the guidance of a Research Director to produce 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, such as spending behavior, debt use, gig work, and precautionary savings. 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.

Responsibilities

Conduct economic research using proprietary big data and produce high-quality analysis and insights. Collaborate with research leaders and communicate analytical insights throughout the research process.