talisman
Head of Quant Trading – Commodities | Energy
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 European 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.
Compensation Highly competitive base salary + performance bonus + participation in strategy P&L for the right profile.
Benefits
Medical insurance
401(k)
Paid paternity leave
Paid maternity leave
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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.
Compensation Highly competitive base salary + performance bonus + participation in strategy P&L for the right profile.
Benefits
Medical insurance
401(k)
Paid paternity leave
Paid maternity leave
#J-18808-Ljbffr