Cross Commodities Analyst – Geneva/ Zug

Overview

In this role you will support an investment team by developing cross-commodity views across gas, oil, metals. You will identify structural themes, relative-value opportunities, and macro-driven dislocations, backed by supply-and-demand analysis and fundamental research. You will build and maintain price frameworks, dashboards, and trade ideas across outright, spreads, and inter-commodity relationships. You will develop Python- and Excel-based tools to enable research and decision-making in a fast-paced environment. This role offers the chance to influence investment outcomes within a dynamic, cross-commodity team.

Pay / Benefits

• Competitive compensation with performance-based bonuses
• Comprehensive benefits package
• Pathways for professional growth and career development
• Dynamic and supportive work environment
• Opportunity to contribute to building a great business

Responsibilities

• Develop cross-commodity market views (gas, oil, metals)
• Identify structural investment themes, relative-value opportunities, and links between markets, macro drivers, and geopolitics
• Build and maintain supply-and-demand balances, price frameworks, and market dashboards
• Analyze inventories, production, trade flows, refinery economics, power demand, positioning, and market structure
• Generate actionable trade ideas across outright, spreads, curves, and inter-commodity relationships
• Build Python- and Excel-based research tools, datasets, and signals

Key requirements

• 5+ years of experience in cross-commodities research or investment analysis
• Familiarity with energy and metals markets; cross-commodity perspective required
• Ability to combine fundamental analysis with macro, positioning, and market-structure analysis
• Strong quantitative and modelling skills, including Python
• Experience building supply-and-demand balances and translating analysis into trade-relevant conclusions
• Clear written communication, commercial judgement, and ability to work in a fast-paced investment environment
• Degree in economics, finance, engineering, maths, or a related quantitative discipline
• Preference for being based in Zug

• clear written communication
• commercial judgement
• ability to work in a fast-paced environment
• Python
• Excel
• quantitative modelling

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