Commodity Risk Manager - Geneva

An expanding Commodities Risk function is seeking a highly capable Commodity Risk Manager to join its Geneva office. This position reports into the Co‑Head of Commodity Risk and will play a central role in developing a best‑in‑class global commodities platform. The successful candidate will contribute to shaping the risk framework and supporting the growth of a rapidly scaling commodities business that is actively building out both financial and physical trading capabilities worldwide.

The role requires close partnership with the trading teams, providing challenge, insight, and support to ensure a clear and comprehensive understanding of risk across the business.

Primary Responsibilities

• Provide independent challenge to trading desks by scrutinising profit drivers, market assumptions, and risk positioning, supported by a strong understanding of commodity fundamentals and macroeconomic influences.
• Design and expand risk management capabilities to meet the needs of a growing operation, including the implementation of new risk tools, systems, and Python‑based analytics.
• Share commodity‑specific insights with colleagues in other risk disciplines and integrate cross‑asset perspectives into commodities risk oversight.
• Present risk exposures and assessments to senior management in a precise, balanced, and accessible manner.
• Take a proactive, hands‑on approach to all aspects of commodity risk management.
• Support the onboarding of new markets and products, establishing appropriate controls, methodologies, and risk frameworks.

Core Requirements

• At least five years' experience in commodities risk management, with direct exposure to crude oil and refined products markets.
• Strong knowledge of oil and product derivatives risk, valuation techniques, and associated market conventions.
• Understanding of benchmark pricing mechanisms, physical market dynamics, and common commercial trading strategies.
• Demonstrated proficiency in Python, SQL, and Excel, including practical experience with numerical and data‑visualisation libraries (e.g., pandas, numpy).
• Familiarity with key market risk and performance metrics such as VaR and stress testing.
• A quantitative academic background in fields such as engineering, mathematics, physics, statistics, economics, or finance.

Beneficial Experience

• Prior involvement in building or setting up risk management frameworks for a new or early‑stage physical trading operation.
• Broader exposure to other commodities sectors, including agricultural markets, metals, or the wider oil complex.
• Professional risk or financial certifications (e.g., CFA, FRM, ERP, PRM).