Economic Research Associate — 2-Year Program

Federal Reserve Bank of New York

St. Louis (MO)

On-site

USD 63,000 - 79,000

Full time

7 days ago
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Benefits offered by this job

Medical Insurance
401k/Thrift Plan
Pension Plan
Paid Vacation/Sick Time and Holidays
Tuition Reimbursement
Parental Leave
Onsite Fitness Center
Onsite Cafeteria

Job summary

Federal Reserve Bank of St. Louis hires several Research Associates each year with start dates in Spring or Summer 2027.

This is an excellent opportunity to work with our reputable economist staff, visiting fellows and scholars. The RA program is structured as a two-year track focusing on statistical, econometric and data-driven research, with use of Excel and packages such as Stata, R, Matlab, Julia, Python and SAS.

Qualifications

  • GPA 3.5 or higher required.
  • Bachelor's degree in economics, econometrics, or quantitative economics.
  • Strong math and statistics background (Calculus II, Econometrics, Linear Algebra).
  • Previous economic research experience preferred (undergrad research or internships).

Responsibilities

  • Perform statistical, econometric, computational and analytical research for publication.
  • Utilize Excel and statistical packages such as Stata, R, Matlab, Julia, Python, and SAS.
  • Collect, organize and interpret economic and financial data.
  • Review journals, market sources and government reports.
  • Write short articles or assist economists in developing short articles and presentations.

Skills

GPA 3.5+
Bachelors in Econ
Math & Stats
Research experience

Education

Bachelor's degree in economics/econometrics/quantitative econ

Tools

Excel
Stata
R
Matlab
Julia
Python
SAS

Job description

Federal Reserve Bank of St. Louis hires several Research Associates each year with start dates in Spring or Summer 2027.

This is an excellent opportunity to work with our reputable economist staff, visiting fellows and scholars. The RA program is structured as a two-year track focusing on statistical, econometric and data-driven research, with use of Excel and packages such as Stata, R, Matlab, Julia, Python and SAS.

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