H

Hudson River Trading

Trades financial markets with automated models

Algorithm Development – PhD Internship - Quant Research & Trading, Summer 2027

Quantitative Research +1Confirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • You must be a full-time PhD student in a quantitative discipline such as mathematics, physics, computer science, statistics, operations research, or machine learning.
  • Fluency in Python is required.
  • You must have experience with statistical analysis, numerical programming, or machine learning using Python, Pandas, NumPy, R, and/or MATLAB.
  • You must have strong communication skills.

Responsibilities

  • Apply advanced research experience and expertise to academic research and real-world trading problems across time horizons and machine learning strategies.
  • Use proprietary Python and C++ infrastructure together with third-party tools to conduct quantitative research and data analysis.
  • Use machine learning and time series techniques to derive insights into market behavior from large and complex datasets.
  • Use the compute cluster to run simulations and process data.
  • Build predictive models for financial markets using market and non-market data.
  • Attend and participate in technology talks covering markets and the company’s trading philosophy.
  • Participate in the summer curriculum of speakers, trading games, mentorships, and social events.

Desired Qualifications

  • Apply research expertise to identify new opportunities in worldwide markets.

About the Company

Hudson River Trading

Trades financial markets with automated models

Hudson River Trading buys and sells financial products through automated models, supplying liquidity that lets other market participants trade on exchanges and directly with the firm. Its business spans equities, futures, options, currencies, and fixed income, with research rooted in mathematics and computer science. Researchers develop and test trading strategies against market data, while engineers build the computing systems that run those strategies and manage their risks. The firm earns income from its trading activity across these markets, with teams combining quantitative research and trade execution. Hudson River Trading was founded in 2002 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$630M
Headquarters
New York City, New York
Founded
2002

Recently Posted Jobs

Explore more opportunities at Hudson River Trading

See more jobs