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InfiniteQuant

Proprietary high-frequency quantitative trading firm

Algorithmic Trader / Quantitative Trader

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Master or Ph.D. degree in Science, Technology, Engineering, and Mathematics.
  • Prior work experience in high-frequency trading firms or hedge funds.
  • Prior experience developing or operating fully automated quantitative trading strategies.
  • Experience with C++ and Python.
  • A solid understanding of market microstructure and execution.
  • A high-ownership, self-directed, systems-oriented mindset.

Responsibilities

  • Research, design, and deploy new algorithmic trading strategies for digital assets, forex, or commodities markets.
  • Take full responsibility for the strategy lifecycle, from idea generation and research to simulation and live production.
  • Iterate on strategy behavior and performance in live markets.
  • Build a deep understanding of market microstructure through hands-on production trading.

About the Company

InfiniteQuant

Proprietary high-frequency quantitative trading firm

InfiniteQuant is a global proprietary trading firm that uses its own capital to trade high-frequency quantitative strategies in multiple financial markets. It develops and runs its own data analysis, strategy development, simulation, and trading systems in-house, from data acquisition to execution. All technology and research are done internally by small, cross-office teams, enabling tightly coordinated research, development, and trading across North America, Asia, and the Middle East. The company does not manage external funds or offer investment services; instead, it focuses on proprietary trading across regulated exchanges and brokers. Its goal is to turn quantitative research and advanced technology into consistent, executable trading strategies using its own resources and infrastructure.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2020

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