About the role#
Algorithm Developers focus on the research and implementation of automated trading strategies. You will have the opportunity to rotate across teams, working alongside researchers and technologists to solve complex problems. You will apply academic research to real-world trading challenges across various time horizons and machine learning strategies.
What you'll do#
- Use proprietary infrastructure in Python and C++ to conduct quantitative research and data analysis.
- Apply machine learning and time series techniques to derive insights on market behavior from large datasets.
- Run simulations and process data using our compute cluster.
- Build predictive models for financial markets using market and non-market data.
- Participate in Tech Talks, mentorships, trading games, and social events.
What you'll need#
- Current enrollment as a full-time PhD student in a quantitative discipline such as mathematics, physics, computer science, statistics, or operations research.
- Fluency in Python.
- Experience with statistical analysis, numerical programming, or machine learning using tools like Pandas, Numpy, R, or MATLAB.
- Strong communication skills.
- Interest in applying research expertise to identify new opportunities in worldwide markets.
Location & details#
- Location: New York, New York.
- Term: Summer 2027.
- Modality: On-site.
- This is a paid, full-time internship.
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.
