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Pre-doctoral Researcher - Technical Associate (Schoar)

Professor Antoinette Schoar is looking for a highly skilled and motivated individual to work as a full-time research assistant for a period of at least one year, with the option to extend to two years. The appointment can start as early as December 2022 or on a rolling basis. The work will entail close collaboration with all stages of the research process on several projects in the areas of fintech, cryptocurrencies and blockchain, financial intermediation, and consumer finance. 

This position offers the opportunity to gain exposure to a broad set of economic research topics and methodologies and is especially valuable for someone who wants to pursue a PhD or advanced Master’s program in economics, finance, business analytics or related fields. The chosen candidate will also gain valuable experience analyzing large data sets and learning skills in machine learning, big data, econometric methods and working with unique data sets.
The ideal candidate should have (i) completed a 4-year undergraduate degree and/or Master’s
degree in Computer Science, Economics or Statistics; (ii) have a strong quantitative background; (iii) have strong programming skills and experience, especially in Python, R or SQL; (iv) be able to work independently to solve problems. Candidates should have authorization to work in the US for the duration of the appointment.

Application Instructions
  • Please apply to
  • A one-page cover letter briefly describing your academic career and future study goals.
  • A CV
  • A transcript
  • A writing sample. This could be any research paper or term paper that you think best reflects your abilities
  • A sample of code which you have written

We will be accepting and reviewing applications on a rolling basis until the position(s) are filled.