2027 Quantitative Research Intern

The Role
We are seeking exceptional interns to join our Quantitative Research team in the Austin metro area. As an intern, you will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, and risk management. You will have an opportunity to meaningfully contribute to multiple areas of our quantitative trading business.
What You’ll Do
As a Quantitative Researcher Intern, you will contribute to our research into predictive trading signals. You will learn how quantitative methods are used to develop and evaluate trading signals. You will develop predictive features and machine learning models, test research hypotheses, and evaluate predictive performance on out-of-sample data. You will have the opportunity to use AI tools to improve your productivity in coding and analysis. Over the 10-week internship program, you will collaborate with senior team members to learn what it takes to be a successful quantitative researcher. Additionally, you’ll network and socialize with colleagues throughout the internship.
What You Need
Currently pursuing a bachelor’s, master’s, or doctoral degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one academic year remaining after the internship)
Excellent programming skills in one or more languages such as Python, C, C++, Java, SQL, or R
Strong knowledge of probability, statistics, and machine learning techniques. Knowledge of deep learning or natural language processing is a plus.
The ability to communicate research ideas clearly and succinctly
Creative problem-solving skills and experience working with real-world datasets
Strong attention to detail
Previous financial industry experience is a plus but it is not required