Algorithm Development (Quant Research)… at Hudson River… · New York

Summary: Hudson River Trading (HRT) is seeking exceptional full-time PhD students for their Algorithm Development summer internship program. The role focuses on researching and implementing automated trading strategies while collaborating with researchers and technologists to solve complex problems in trading. Responsibilities: - 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 Required Qualifications: - 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 2027 or 2028 - 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 Required Skills: Fluency in Python, Statistical analysis, Machine learning Important Skills: Numerical programming Nice-to-Have Skills: communication skills Internship Start Date: Start in 2026 Summer Benefits: Signing bonus of 25,000 USD, Company-paid housing, Meals, Other perks