2027 Quantitative Developer Intern

Schonfeld•Austin, TX

23h•$175,000 - $220,000•Onsite

About The Position

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.

Requirements

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
Familiarity with machine learning algorithms and software frameworks
The ability to communicate research ideas clearly and succinctly
Creative problem-solving skills
Strong attention to detail

Nice To Haves

Experience working with production software is a plus
Previous financial industry experience is a plus but it is not required

Responsibilities

Develop and improve the software used in our quantitative research.
Gain insight into building scalable software.
Utilize parallel computing to train machine learning models and process large datasets.
Use AI tools to improve productivity in coding and analysis.
Collaborate with senior team members to learn what it takes to be a successful Quantitative Developer.
Network and socialize with colleagues throughout the internship.