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Proprietory Trader (Quant/Systematic Equities) - DTG Capital Markets

DTG Capital MarketsNew York, NY🇺🇸United States

Why this role stands out

This remote role at DTG Capital Markets offers an exciting opportunity to build and trade systematic US equities strategies, driving alpha generation and portfolio construction. You'll thrive here if you have a proven track record in quantitative research, strategy deployment, and risk management, allowing you to develop your skills in a dynamic environment. Apply today to own your results in this impactful front-office position!

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeRemote
LocationNew York, NY, United States
C++PythonRisk ManagementMachine LearningData Analysis

Job description

Build Alpha. Trade Capital. Own Results.

We are seeking Proprietary Quant Traders with experience developing and trading intraday or mid-frequency US equities strategies . This is a front-office role focused on alpha generation, portfolio construction, and live strategy trading/management.

The successful candidate will have a demonstrated experience in research, deployment, and scaling profitable quantitative trading strategies while operating in a disciplined risk management framework.

Key Responsibilities

✔ Research and develop systematic alpha signals and trading strategie

✔ Design, backtest, and deploy quantitative models across US equitie

✔ Manage live trading strategies and monitor performance

✔ Optimize portfolio construction, risk allocation, and execution

✔ Analyze transaction costs, liquidity, and market microstructure

✔ Collaborate with technology and data teams to improve research and trading infrastructure

Ideal Candidate

  1. Proven experience trading systematic US equities strategies
  2. Demonstrated track record of generating risk-adjusted returns
  3. Strong quantitative, statistical, and analytical skills
  4. Deep understanding of portfolio construction and risk management
  5. Experience taking strategies from idea generation through production deployment
  6. Ability to operate independently and drive research initiatives

Technical Skills/Requirements

  1. Python
  2. Quantitative research and backtesting frameworks

Data analysis and statistical modeling

Preferred

  1. C++
  2. Machine learning techniques
  3. Alternative data research

What You'll Get

  1. Access to institutional-grade data, ultra latent technology, and execution infrastructure
  2. Significant autonomy to develop and trade your own ideas
  3. VERY competitive terms: high payout (paid quarterly), no restrictions/ no non-compete, 100% remote, sizable capital allocations (100-500M GMV)

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