We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.

Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.

Primary Responsibilities

Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
Build data sets and conduct statistical analysis on the data.

Requirements

Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
Programming experience, ideally including R, C++ and/or Python.
Experience with regression analysis.
Strong interest in learning how to build, organize and analyze large data sets.
Strong organizational and communication skills.