Quantitative Trader - Machine Learning (NYC) jobs in United States
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Quantitative Strategies Group LLC · 7 hours ago

Quantitative Trader - Machine Learning (NYC)

Quantitative Strategies Group (QSG) is a proprietary trading firm seeking Machine Learning–Driven Quantitative Traders. The role involves managing firm capital, contributing to research, strategy development, and implementation, while operating independently with shared firm infrastructure.

Financial Services
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Responsibilities

Traders are allocated firm capital and manage risk within firm limits
From day one, traders contribute directly to research, strategy development, and implementation
Risk limits scale over time based on demonstrated performance, discipline, and adherence to risk constraints
Traders operate independently while benefiting from shared firm infrastructure including capital, technology, market access, risk management, and ongoing internal education

Qualification

Machine LearningQuantitative AnalysisPythonModel BuildingProblem Solving

Required

Must be a U.S. citizen or lawful permanent resident (green card holder)
Able to work in person from our New York City office
Strong quantitative background (PhD, MS, or equivalent demonstrated depth)
Strong Python skills
Demonstrated experience building machine learning models in a serious, hands-on way
Ability to clearly explain what you built, why it worked, and what broke

Preferred

Build models end-to-end (data → training → evaluation → failure analysis)
Understand assumptions, architecture, and tradeoffs behind what they build
Have strong instincts around overfitting, leakage, robustness, and out-of-sample testing
Enjoy being a finder and problem solver, not just an 'ML user'
Operate with an entrepreneurial mindset: self-directed, accountable, motivated by long-term ownership
Value continuous learning and fast iteration

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
Company data provided by crunchbase