About the role#
Algorithm Developers at Hudson River Trading research and implement automated trading strategies. You will rotate between high-frequency, mid-frequency, and machine learning teams. Working alongside mentors, you will use quantitative modeling to predict market behavior and write software to improve trading strategies.
What you'll do#
- Research and implement automated trading strategies.
- Use proprietary infrastructure to conduct quantitative research and data analysis.
- Apply machine learning and time series techniques to derive insights from complex datasets.
- Collaborate with researchers, traders, and developers on projects.
- Run simulations and process data using our compute cluster.
- Build predictive models for financial markets.
- Participate in Tech Talks, trading games, and mentorship programs.
What you'll need#
- Full-time enrollment as an undergraduate or master’s student in a quantitative field like Computer Science, Mathematics, Physics, or Statistics.
- Experience programming in Python.
- Proficiency in statistical analysis, numerical programming, or machine learning using Python, Pandas, Numpy, R, or MATLAB.
- Strong communication skills.
- Interest in applying quantitative models to solve real-world problems.
- C++ skills are desired for those interested in low-latency trading.
Location & details#
- Location: New York, NY.
- Term: Summer 2027.
- This is a full-time, on-site internship.
- This position is paid.
About Hudson River Trading
Hudson River Trading is a financial services firm that builds automated trading algorithms. Founded in 2002, the company researches and develops strategies using mathematical techniques. It operates across multiple asset classes in electronic markets worldwide. The firm is based in New York and employs between 1,001 and 5,000 people.
How to get in at Hudson River Trading
Applying to Hudson River Trading early is a significant advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first before the pile grows. You can avoid the wait and get your application seen by the right people early on. Reaching out to the recruiters behind the firm's roles directly improves your response rates. Intern Insider surfaces these specific contacts so you can ask about the role or a referral. It is a more effective approach than just waiting for a response from a general queue.
