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Head of Quant Trading – Commodities | Energy
Job in
6300, Zug, Kanton Zug, Switzerland
Listed on 2026-01-01
Listing for:
talisman
Full Time
position Listed on 2026-01-01
Job specializations:
-
Finance & Banking
Data Scientist
Job Description & How to Apply Below
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 senior‑level role offers 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.
- 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.
Zug, Switzerland
CompensationHighly competitive base salary + performance bonus + participation in strategy P&L for the right profile.
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