Opportunities · Research opportunity
Algorithm Development (Quant Research & Trading) PhD Internship
Hudson River Trading
Apply with Birdee.
- When
- Summer 2002
- Apply by
- Nov 4, 2026
Before you apply
- Work authorization
- Please note that this does not guarantee sponsorship for this specific role.
What you'll do
- 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
What they want
- Hudson River Trading is a quantitative trading firm seeking exceptional full-time PhD students for its Algorithm Development summer internship program.
- You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.)
- Fluency in Python is a must
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- Strong communication skills
Pay and perks
- A competitive signing bonus
- Company-paid housing
- Meals
About Hudson River Trading
Hudson River Trading opertes as a multi-asset class quantitative trading firm. It was founded in 2002, and is headquartered in New York, New York, USA, with a workforce of 1001-5000 employees. Its website is https://www.hudsonrivertrading.com.
Full posting
Hudson River Trading is a quantitative trading firm seeking exceptional full-time PhD students for its Algorithm Development summer internship program. The role focuses on researching and implementing automated trading strategies using quantitative research, machine learning, time series analysis, data analysis, simulations, and predictive modeling for financial markets.
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
Skills
- You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.)
- Fluency in Python is a must
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- Strong communication skills
Benefits
- A competitive signing bonus
- Company-paid housing
- Meals
- Other perks
- A curriculum of speakers, trading games, mentorships, and social events throughout the summer
Company Overview
- Hudson River Trading opertes as a multi-asset class quantitative trading firm. It was founded in 2002, and is headquartered in New York, New York, USA, with a workforce of 1001-5000 employees. Its website is https://www.hudsonrivertrading.com.
Company H1B Sponsorship
- Hudson River Trading has a track record of offering H1B sponsorships, with 43 in 2026, 27 in 2025, 23 in 2024, 30 in 2023, 19 in 2022, 13 in 2021, 16 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Dates for this one
Only the dates this listing publishes. Anything it leaves out is left out here too.
Posted
Oct 4, 2026
Applications close
Nov 4, 2026
25 days left
The employer's own record
Usually listed
Checking opening history…
Filed pay record
Checking public pay records…
Verified by UTern
Last read under an hour ago · closing date published