Senior Research Analyst

Description

Job Summary: Coordinate the regional research function, support the team in improving coffee data and analysis, and develop forecasting models. Key Responsibilities: 1. Lead the regional research function and coffee analysis. 2. Develop forecasting models and optimize data maintenance. 3. Propose trading strategies based on supply and demand analysis. **Company Description** Louis Dreyfus Company is a leading global merchant and processor of agricultural goods. 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 more than 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