Algorithm Trader Internship Summer 2026 @ Hudson River Trading
Your Application Journey
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Job Details
About the Role
Hudson River Trading (HRT) is launching its Algo Trader Summer Internship program to expand its trading strategies through innovative quantitative methods. As an Algorithm Trader Intern, you will engage in the execution, monitoring, and research of both discretionary and systematic market signals while improving trading strategies and evaluating associated risks.
What To Expect
- A fast-paced introduction to quantitative trading concepts.
- Work on real projects with experienced traders, researchers, and developers.
- Participate in trading games that simulate real-world challenges.
- Conduct statistical analysis in Python to extract market insights.
- Attend Tech Talks and a curriculum of mentorships and social events.
Profile
You are a full-time student in a quantitative discipline with graduation targets in 2026 or 2027, capable of both independent and team work. You are curious, intellectually humble, and quick to adapt, with a strong work ethic to thrive in a fast-paced environment.
Compensation & Benefits
This internship offers a weekly base salary of $5,800, a signing bonus of $25,000, plus company-paid housing, meals, and additional perks over an 11-week period.
Culture
HRT’s culture blends scientific rigor with a collaborative environment. The company values diversity, transparency, and innovation and provides opportunities to work alongside experts from various disciplines in mathematics, computer science, physics, engineering, and more.
Key skills/competency
Quantitative Analysis, Python, Statistical Analysis, Trading Strategies, Market Research, Risk Evaluation, Problem Solving, Collaboration, Fast-paced, Innovation
How to Get Hired at Hudson River Trading
🎯 Tips for Getting Hired
- Customize Your Resume: Highlight quantitative and Python skills.
- Research HRT: Understand their trading strategies and culture.
- Showcase Projects: Detail academic or relevant trading projects.
- Prepare for Interviews: Practice quant and problem-solving questions.