Senior Research Analyst

Description

Job Summary: Coffee research analyst who structures and coordinates the regional research function, supports the team, and develops forecasting models. Key Responsibilities: 1. Lead analysis and propose strategies for the Milds complex 2. Develop forecasting models for coffee consumption and production 3. Optimize the data maintenance and update process **Company Description** Louis Dreyfus Company is a global leader in the marketing and processing of agricultural products. Our activities span the entire value chain—from farm to fork—across a broad range of business lines. Leveraging our global reach and extensive asset network, we serve our customers and consumers worldwide. Structured as a matrix organization comprising six geographic regions and ten platforms, Louis Dreyfus Company operates in over 100 countries and employs approximately 18\.000 people globally. **Job Description** * Structure and coordinate the regional research function \- working closely with our trading/research personnel throughout the region and Geneva. * Support the research team on the improvement of data and analysis related to Mild’s coffee balance sheet * Produce the balance sheets for coffee for the Milds region * Maintenance of hedge matrices tracking the flow of flat price risk from farmer to hedger * Verify the accuracy of cost of production estimates, and model historical time series accordingly. * Develop forecast models to predict coffee consumption, exports, production and farmer behavior * Optimize the current process of data maintenance and update; * Propose trading recommendations through analysis of stocks/use, net supply and demand balances etc. Identify significant correlations between balance sheet movements and relevant price time series * Act as the lead analyst for the Milds complex. This involves proposal of strategies in view of the supply and demand outlook, contribution to the debate of proposed strategies, formulation of conclusions and review of strategy implementation. **Additional Information** * Preferred degree in math and science (Math, Statistic, Physics, Engineering) or Economics * Advanced Excel * Knowledge in programming language (preferred Python) and SQL * Experience with data analysis * Experience with statistical techniques * Advanced English