Algorithm Development PhD Internship

Please only apply to one job posting. In the application questions below, you’ll have the opportunity to indicate if you’re interested in multiple offices and/or roles. Please do not submit multiple applications for different positions/offices!

HRT is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies.

Trading in 200+ markets around the world in a variety of time horizons ensures there are always innovative self-guided paths to explore — with opportunities to make a big impact. Through this internship you’ll have the opportunity to rotate across teams, learning and collaborating alongside researchers and technologists that apply their passion and expertise to solving the most nuanced problems in our industry.

What to Expect

• Use advanced research experience and expertise to apply academic research to impactful real world problems in trading across time horizons and machine learning strategies
• Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
• Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
• Use our industry-leading compute cluster to run simulations and crunch data
• Build predictive models for financial markets using a combination of market and non-market data
• Attend and participate in Tech Talks that provide an overview of markets and HRT’s trading philosophy
• Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer

Requirements

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.) with a planned graduation timeline of 2026 or 2027
• Fluency in Python is a must
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• You’re excited to apply your research expertise to identify new opportunities in worldwide markets
• Strong communication skills