Sr Research Analyst
Louis Dreyfus Company · Mexico City, CDMX, Mexico
- Company
- Louis Dreyfus Company
- Work style
- Hybrid
- Employment
- Full Time
- Location
- Mexico City, CDMX, Mexico
- Published
- 2026-05-19
- Source checked
- 2026-10-27
- Listing source
- SmartRecruiters Posting API
About this role
Company Description Louis Dreyfus Company es una empresa líder en la comercialización y transformación de productos agrícolas. Nuestras actividades abarcan toda la cadena de valor, desde el campo hasta la mesa, a través de una amplia gama de líneas de negocio, aprovechamos nuestro alcance global y nuestra extensa red de activos para servir a nuestros clientes y consumidores en todo el mundo. Estructurada como una organización matricial de seis regiones geográficas y diez plataformas, Louis Dreyfus Company opera en más de 100 países y emplea aproximadamente a 18.000 personas en todo el mundo. 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 Economy Advanced Excel Knowledge in programing language (preferred Python) and SQL Experience with data analysis Experience with statistics techniques Advanced English
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