Quantitative Trader - Machine Learning, NYC jobs in United States
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Quantitative Strategies Group LLC ยท 18 hours ago

Quantitative Trader - Machine Learning, NYC

Quantitative Strategies Group (QSG) is a proprietary trading firm seeking Quantitative Traders to build long-term trading businesses within the firm. Traders will manage their own accounts, contributing to research, strategy development, and implementation while benefiting from shared resources and infrastructure.

Financial Services

Responsibilities

Manage their own account within the firm
Contribute directly to research, strategy development, and implementation
Engage deeply with live markets
Maintain tight feedback loops around risk, capital allocation, infrastructure, and live trading decisions
Own models end to end, from hypothesis formation through evaluation and failure analysis

Qualification

Quantitative analysisMachine learningStrategy developmentBacktestingCodingRisk managementPerformance evaluationContinuous improvementSelf-directed learning

Required

Have a strong quantitative, technical, or research-oriented background
Have already explored markets independently through research, coding, backtesting, or strategy development
Are comfortable owning models end to end, from hypothesis formation through evaluation and failure analysis
Value continuous learning and self-directed improvement
Are not seeking a classroom-style training program or salaried role
Want to build a long-term career in proprietary trading
Demonstrate evidence of serious, hands-on quantitative work
Are current undergraduate or graduate students with strong quantitative, technical, or research-oriented backgrounds
Are self-directed learners who value continuous improvement and long-term ownership
Are comfortable with real accountability and performance-based evaluation

Company

Quantitative Strategies Group LLC

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Quantitative Strategies Group (QSG) is a proprietary trading firm focused on systematic and algorithmic strategies in U.S. equities.

Funding

Current Stage
Early Stage
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