Quantopian is seeking an undergraduate or graduate student intern to help expand and improve our quantitative finance lecture series over the winter and spring. These lectures are used in universities around the world and have been co-developed with many professors.
The intern will be responsible for helping write new lecture content, and especially for creating homework and problem sets based on the lectures. All content developed is shared publicly and released under a Creative Commons license, the same that is used on Wikipedia.
While improving lectures, you will certainly come up with ideas on how to improve the Quantopian platform. We are very interested in your contributions of this type as well.
This position is largely remote, but slight preference will be given to someone who can come into our Boston office at least once every two weeks. Strong preference will be given to someone within 5 hours of Eastern Time. Compensation is an hourly rate. This is a part-time internship and promising candidates will be considered for full-time internships in the summer.
You must have programming skills, including some Python and pandas experience, as well as a strong background in statistics. Knowledge of financial markets and trading is beneficial, but not required. The candidate must be self-motivated, have good problem-solving skills, have a can-do attitude, and have the ability to work without close supervision.