Independent Algorithmic Trader - Strategy Lifecycle

InfQuant; New York, Northern (NY, KY); Hybrid; USD 180,000 - 320,000; Full time

Job summary

InfiniteQuant in New York City seeks an Algorithmic Trader / Quantitative Trader to design, test, and deploy high-frequency trading strategies across markets. You will own the strategy lifecycle from idea generation through live deployment and production monitoring.

The role requires strong background in quantitative research, market microstructure, and experience building or operating fully automated strategies, with a track record in fast, data-driven decision making and risk controls.

Qualifications

• Experience in high-frequency trading or hedge funds.
• Experience deploying automated quantitative strategies.
• Strong understanding of market microstructure.
• Ability to own the strategy lifecycle from idea to live deployment.

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.

Skills

High-frequency trading

Market microstructure

Quantitative research

Strategy development

Live production trading

Education

Master's or Ph.D. in STEM

Job description

InfiniteQuant in New York City seeks an Algorithmic Trader / Quantitative Trader to design, test, and deploy high-frequency trading strategies across markets. You will own the strategy lifecycle from idea generation through live deployment and production monitoring.

The role requires strong background in quantitative research, market microstructure, and experience building or operating fully automated strategies, with a track record in fast, data-driven decision making and risk controls.