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Hudson River Trading

Trades financial markets with automated models

Algorithm Development Intern - Quant Research & Trading

Quantitative ResearchUpdated on Nov 12
Internship · Summer 2027In-person

About the Job

Requirements

  • You must be a full-time undergraduate or master's student in a quantitative discipline such as mathematics, physics, computer science, statistics, or a related program.
  • Experience programming in Python is required; C++ experience is desired for those interested in low-latency trading.
  • Experience with statistical analysis, numerical programming, or machine learning using Python, Pandas, NumPy, R, and/or MATLAB is required.
  • You need a passion for applying quantitative models and technology to real-world problems.
  • Strong communication skills are required.

Responsibilities

  • Use the company's proprietary infrastructure, Python, C++, and third-party tools to conduct quantitative research and data analysis.
  • Apply machine learning and time series techniques to derive insights on market behavior from large and complex datasets.
  • Work on projects in collaboration with experienced researchers, traders, and developers.
  • 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 Tech Talks covering markets and the company's trading philosophy.

Desired Qualifications

  • Experience with C++ is desired for candidates interested in low-latency trading.

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

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