About the role#
Data Scientists at Hudson River Trading extract useful information from the vast volume of data available globally. You will work within the Algo department to normalize and validate vendor data, extract features from quantitative and textual sources, and apply rigorous quality checks. This internship offers a hands-on introduction to data, modeling, and engineering practices within the algorithmic trading industry.
What you'll do#
- Normalize and validate vendor data.
- Extract features from quantitative and textual data.
- Apply rigorous quality checks.
- Investigate methodologies to provide high quality data for research and trading.
- Complete independent data investigation projects using Python libraries like pandas and polars.
- Participate in team events and learn about the research and trading infrastructure.
What you'll need#
- Current enrollment as a full-time student in a STEM field, such as Computer Science, Mathematics, Physics, or Engineering.
- Programming experience in Python, equivalent to the depth found in Python for Data Analysis by Wes McKinney.
- A natural curiosity for working with data and finding insights.
- Exceptional attention to detail.
- Strong communication skills.
- Experience with independent data projects or Kaggle competitions is a plus.
Location & details#
- Location: New York, NY.
- Term: Summer 2027.
- Modality: On-site.
- This is a full-time, paid internship. The role includes company-paid housing, meals, and other perks.
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.
