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Hudson River Trading

Trades financial markets with automated models

Algo Developer

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Brilliant analytical and problem solving skills.
  • Ability to work creatively and independently on long-term technical problems.
  • Familiarity with the C++ programming language.
  • Possess a bachelor's degree in Mathematics, Computer Science, Statistics, Physics, or a related field.
  • Capable of working independently as well as part of a team.
  • Able to analyze and fix problems quickly.
  • You learn quickly and apply new skills effectively.

Responsibilities

  • Build and maintain the models that drive trading.
  • Apply rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.
  • Run models live on high-performance trading infrastructure.
  • Analyze daily performance of models to maintain ongoing profitability.
  • Collaborate with fellow algo developers and core developers to research, develop, and test novel order execution and model training methods to increase trading efficiency.

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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