Algorithm Development (Quant Research) PhD Internship – Summer 2027
About The Position
Hudson River Trading (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. We trade on more than 200 markets around the world, across a variety of time horizons – offering ample opportunities to explore innovative, self-guided research and make a big impact on our business. 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.
Requirements
- Full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.) with a planned graduation timeline of 2028 or 2029
- Fluency in Python is a must
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- Excited to apply your research expertise to identify new opportunities in worldwide markets
- Strong communication skills
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
- Utilize 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
Benefits
- Weekly base salary
- Competitive signing bonus
- Company-paid housing
- Meals
- Other perks
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
