Research Analyst

Bunge - Chesterfield, MO

Full-time - Mid Level

Chesterfield, MO

10,001+ employees

Food Manufacturing

About the position

The Research Analyst position at Bunge involves conducting fundamental analyses of global agricultural commodity markets, focusing on long-term forecasting and data processing. The role requires collaboration with various teams to enhance economic forecasting models and provide analytical support, contributing to the company's trading and risk decisions in the agricultural sector.

Responsibilities

• Be an integral part of the long-term team focusing on fundamental analyses of global agricultural commodity markets.
• Maintain and enhance data pipelines for ingesting and processing data on global supply, demand, and trade of agricultural commodities.
• Collaborate and coordinate with internal research and commercial teams 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 support to global team members for efficient data access and automated model processing.
• Document and summarize research findings, draft reports and presentations, and generate global commodity market outlooks regularly.
• Actively learn and grow understanding of global agricultural commodity market functions and contribute to commercial discussions.

Requirements

• Minimum Master's degree in Agricultural Economics, Economics, Finance, Business Analyst, Physics, Computer Science, Engineering, or related 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.

Nice-to-haves

• PhD degree or three years of industry experience in a related field.
• Working knowledge about global supply, demand, or trade of oilseeds, grains, vegetable oils.
• Experience with developing Python modules.
• Expertise in relational databases, such as Oracle, PostgreSQL, MySQL.
• Familiar with web development tools such as HTML, CSS, JavaScript, Dash, Django.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Tuition reimbursement
• Paid parental leave
• Paid time off