Risk and Research Analyst

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. 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. Apply quantitative, statistical, and scenario-based analysis to improve market views, forecasts, risk assessments, and hedging decision support. 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. Support recurring planning, forecasting, and performance-review processes by providing consistent analytical inputs and well-documented assumptions. Contribute to the development and optimization of risk management systems, analytical tools, reporting solutions, and automated workflows. 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. 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 maintaining appropriate 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. Valid Swiss work permit Fluency in the English language is required 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. 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. 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.