talisman
Head of Quant Trading – Commodities | United States
talisman, Houston, Texas, United States, 77246
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Analyst
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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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Analyst
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