2027 Quantitative Developer Intern

About the Role

• Join the Quantitative Research team as an intern in the Austin metro area.
• Work with researchers and developers on various research projects.
• Contribute to the design of novel predictive signals.
• Enhance algorithms for prediction, trade execution, portfolio construction, and risk management.
• Gain the opportunity to meaningfully contribute to multiple areas of the quantitative trading business.

What You'll Do

• Develop and improve software used in quantitative research.
• Gain insight into building scalable software.
• Learn to use parallel computing for training machine learning models and processing large datasets.
• Have the opportunity to use AI tools to improve productivity in coding and analysis.
• Collaborate with senior team members to learn about being a successful Quantitative Developer.
• Network and socialize with colleagues throughout the 10-week internship program.

Requirements & Tech Stack

• Python, C, C++, Java, SQL, or R
• Familiarity with machine learning algorithms and software frameworks.
• Ability to communicate research ideas clearly and succinctly.
• Creative problem-solving skills.
• Strong attention to detail.
• Previous financial industry experience is a plus but not required.
• Experience working with production software is a plus.

Qualifications

• 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, have one academic year remaining after the internship.