JPMorganChase Institute Research Analyst

JPMorgan Chase & Co.Washington, DC
8h

About The Position

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 [https://www.jpmorganchase.com/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.

Requirements

  • Bachelor’s degree in economics, public policy, statistics, or related field with 2+ years of 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.

Nice To Haves

  • 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

  • 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.

Benefits

  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service