Research Analyst

at  Bunge

Location : St. Louis MO
City : Chesterfield
State : Missouri (US-MO)
Country : United States (US)
Requisition Number : 37387

SKILLS/EXPERIENCE REQUIREMENTS:

Minimum Master’s degree in Agricultural Economics, Economics, Finance, Business Analyst, Physics, Computer Science, Engineering, or related discipline on a quantitative field.

• Solid understanding of fundamentals of economics and basic economic concepts such as supply, demand, and price elasticities. Genuinely interested in agricultural commodity markets. Intellectually curious, creative, and problem-solving.
• 2+ years of working experience with Python. Familiar with essential Python packages for data analytics, such as pandas, numpy, matplotlib.
• High proficiency in MS Excel & PowerPoint. Knowledge of VBA & Excel Macros is a plus.
• Understanding of basic statistical concepts/tools such as ordinary least squares.
• Detail-oriented with the ability to work in a fast-paced environment and prioritize tasks to meet specific deadlines.
• Ability to collaborate with colleagues from diverse backgrounds.
• Effective oral and written communication skills with the ability to explain or demonstrate complex topics concisely.

The main responsibilities are to:

• Be an integral part of the long-term team that focuses on fundamental analyses of global agricultural commodity markets in the long-term horizon.
• Maintain and enhance data pipelines for ingesting and processing data on global supply, demand, and trade of agricultural commodities including grains, oilseeds, vegetable oils, etc.
• Collaborate and coordinate with internal research and commercial teams across functions for execution and improvement of proprietary global long-term forecasting models.
• Leverage advanced statistical, econometric, and data science tools to develop and enhance economic forecasting models and processes.
• Provide technical and analytical supports to global team members for efficient data access and automated model processing for the long-term analyses.
• Provide documentations and assist to summarize/interpret research findings, draft reports and presentations, and generate global commodity market outlooks on a regular basis.
• Actively learn and grow understandings of the global agricultural commodity market functions and contribute to commercial discussions.