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Head of Quant Trading - Commodities | United States

Head of Quant Trading - Commodities | United States

talismanHouston, TX, US
3 days ago
Job type
  • Full-time
Job description

Job Description

Head of Quant Trading – Commodities | United States

Our client, a high-performing U.S. commodity trading and marketing firm , is seeking a Head of Quant Trading to lead the expansion of its quantitative and systematic strategies across power, gas, and broader North American energy markets.

This is a senior-level role offering full ownership of strategy design, build-out, and team leadership — ideal for a commercially-driven quantitative leader looking to shape and scale a modern trading function within a well-capitalized and entrepreneurial environment.

Key Responsibilities

  • Lead the development and deployment of systematic and hybrid trading strategies across U.S. commodity markets (power, gas, oil, emissions, and related products).
  • Build, mentor, and manage a team of quants, researchers, and data engineers focused on alpha generation and advanced analytics.
  • Collaborate closely with discretionary traders and risk managers to bridge quantitative insights with commercial execution.
  • Drive the use of data science, machine learning, and market microstructure models to enhance signal discovery and trade optimization.
  • Partner with technology leadership to enhance data infrastructure, model libraries, and low-latency execution systems .
  • Oversee risk management frameworks and ensure robust model validation, governance, and backtesting processes.

Key Requirements

  • 8–15 years of experience in quantitative or systematic trading , ideally within U.S. power, gas, or broader commodities .
  • Proven track record of alpha generation and P&L contribution .
  • Deep understanding of U.S. market structure (PJM, ERCOT, MISO, SPP, NYISO, CAISO) and short-term trading dynamics.
  • Strong programming and modeling expertise ( Python, C++, or similar ) with hands-on experience in data-driven research environments.
  • Advanced degree (MSc / PhD) in Applied Mathematics, Physics, Computer Science, or Quantitative Finance .
  • Demonstrated leadership capability — able to build and scale high-performance teams in a front-office environment.
  • Location

    Flexible across key trading centers — Houston, New York, or Chicago .

    Compensation

    Highly competitive base salary + performance bonus + participation in strategy P&L for the right profile

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