Risk and Research Analyst - Commodity Risk

About the role

Keurig Trading's Risk Management team is looking for a Risk and Research Analyst in Lausanne, Switzerland, reporting to the Senior Director, Commodity Risk Management. The role turns internal business data and external market intelligence into reliable insights, forecasts and decision-support material for commodity risk decisions, working with Sourcing, Procurement, Supply Chain Finance, Treasury and other partners.

Key responsibilities

• Analyze commodity market fundamentals, price drivers, supply-demand dynamics and macro trends to identify emerging risks and scenarios.
• Build, maintain and enhance commodity supply-demand, pricing, cost, exposure and forecasting models.
• Produce daily, weekly, monthly and ad hoc reports on exposures, coverage, market movements, pricing risk and hedge performance.
• Build dashboards, management reports and data visualizations; perform variance, sensitivity, trend and scenario analysis.
• Validate and reconcile market data, transactions, positions, valuations and counterparty information, and resolve discrepancies.
• Support planning, forecasting and performance reviews, and contribute to risk management systems, reporting solutions and automated workflows.
• Prepare analyses, presentations and briefing materials for meetings with Finance, Procurement, Commercial, Supply Chain and senior leadership.
• Monitor open coffee purchase commitments and unpriced exposures, and assist in executing approved coffee price fixations under direction.
• Support internal and external audits, and train and guide colleagues on commodity markets and risk reporting.

Required profile

• Valid Swiss work permit.
• Bachelor's degree in business, finance, mathematics, statistics, economics, data analytics, engineering, supply chain or a related field.
• Minimum 3-5 years of experience in market research, risk analysis, financial analysis, data analytics, commodities or a similar field.
• Experience in commodity market research, supply-demand modeling, forecasting, economics or exposure analysis.
• Preferred: advanced degree, knowledge of Bloomberg or Reuters, and experience with risk management, enterprise reporting, data visualization or business intelligence systems.

Required skills

• Strong analytical and problem-solving skills, with attention to data accuracy and detail under time pressure.
• Advanced proficiency in Microsoft Excel and PowerPoint, including models, management reports and data visualizations.
• Preferred: Power BI, SQL, Python, VBA, macros, SAP and commodity risk concepts such as exposure measurement, hedging instruments and derivatives.