Risk and Research Analyst, Keurig Trading

Job Overview:

Risk & Research Analyst, Risk Management, Keurig Trading

Join Keurig Tradings Risk Management team in a data and informationcentric role supporting commodity risk decisions through rigorous analysis, reporting, modeling, and market research. The Risk & Research Analyst transforms internal business data and external market intelligence into reliable insights, forecasts, and decision-support materials. Working closely with Risk Management, Sourcing, Procurement, Supply Chain Finance, Treasury, and other business partners, this role strengthens the quality, consistency, and transparency of risk information.

This position will be based in Lausanne, Switzerland, and will report to the Senior Director, Commodity Risk Management at Keurig Trading.

What you will do:

• Market data, research and modeling
• Analyze commodity market fundamentals, price drivers, supply-demand dynamics, and macroeconomic trends to identify emerging risks, scenarios, and business implications.
• Develop, maintain, and enhance commodity supply-demand, pricing, cost, exposure, and forecasting models using internal business data and external market intelligence.
• Collect, validate, structure, and synthesize information from industry research, market data providers, brokers, counterparties, and public sources.
• Apply quantitative, statistical, and scenario-based analysis to improve market views, forecasts, risk assessments, and hedging decision support.
• Risk analytics, reporting and decision support
• Produce accurate and timely daily, weekly, monthly, and ad hoc reporting on commodity exposures, coverage levels, market movements, pricing risk, and hedge performance.
• Build and maintain analytical dashboards, management reports, data visualizations, and presentation materials that clearly communicate key trends, drivers, risks, and opportunities.
• Perform variance, sensitivity, trend, and scenario analysis to explain changes in exposure, market value, forecast cost, and risk position.
• Translate complex datasets and market information into concise insights, business implications, and actionable recommendations for stakeholders and senior leadership.
• Support recurring planning, forecasting, and performance-review processes by providing consistent analytical inputs and well-documented assumptions.
• Maintain reliable data models, source files, reporting logic, and documentation to support consistent and reproducible analysis across Risk Management activities.
• Validate and reconcile market data, transactions, positions, valuations, forecasts, and counterparty information, investigating and resolving data discrepancies in a timely manner.
• Partner with Controlling, Treasury, Procurement, Accounting, and Technology teams to strengthen the integrity of market pricing, risk reporting, management information, and hedge-accounting inputs.
• Contribute to the development and optimization of risk management systems, analytical tools, reporting solutions, and automated workflows.
• Identify opportunities to improve data accessibility, reporting efficiency, model accuracy, transparency, controls, and user experience.
• Develop and maintain clear process documentation, model assumptions, data definitions, controls, and audit evidence.
• Support the enhancement of commodity risk methodologies, analytical frameworks, key performance indicators, and governance standards.
• Participate in cross-functional projects and strategic initiatives requiring commodity market, risk, financial, or data analysis.

Additional responsibilities:

• Prepare high-quality analyses, presentations, and briefing materials for meetings with Finance, Procurement, Commercial, Supply Chain, and senior leadership stakeholders.
• Monitor open coffee purchase commitments and unpriced exposures, assist in execution of approved coffee price fixations under direction.
• Support internal and external audits by maintainingappropriate documentation, data lineage, evidence, and process controls.
• Develop collaborative and professional relationships with internal stakeholders, market data providers, brokers, financial counterparties, and external research partners.
• Build organizational understanding of commodity markets, analytical outputs, risk measures, and reporting through clear guidance, training, and knowledge sharing.
• Conduct all activities in accordance with company values, ethical standards, centralized procurement and risk management policies, regulatory requirements, internal controls, and applicable Sarbanes-Oxley (SOX) requirements.

Requirements:

What you must have:

• Valid Swiss work permit
• Fluency in the English language isrequired
• Bachelors 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.
• Strong analytical and problem-solving skills, with close attention to data accuracy, consistency, and detail under time pressure.
• Advanced proficiency in Microsoft Excel and PowerPoint, with experience creating models, management reports, and data visualizations.
• Ability to translate complex data and market information into clear, concise insights for technical and non-technical audiences.
• Positive, motivated team player who can manage multiple priorities and work effectively in a fast-paced, multinational, and cross-functional environment.

Preferred skills:

• Advanced degree in finance, economics, mathematics, statistics, data analytics, engineering, or a related discipline.
• Knowledge of market information platforms such as Bloomberg or Reuters and experience evaluating external data sources.
• Experience with risk management, enterprise reporting, data visualization, or business intelligence systems.
• Working knowledge of commodity risk management concepts, exposure measurement, hedging instruments, and derivatives.
• Experience with data automation or analytical tools such as Power BI, SQL, Python, VBA, macros, or similar technologies.
• Experience with SAP and integrating financial, procurement, market, or operational data into analytical reporting.