Research Analyst Agricultural Commodities

Posted Date 12 Nov 2024



Experience Icon Experience 2 Years Salary Salary 53000USD
Job Type Icon Job Type Full Time Company Company LSEG (London Stock Exchange Group)
Job Category Icon Job Category Agriculture Qualification Icon Qualification BS Agricultural Economics
Gender IconGender Both Date Last Date 10 Feb
Vacancies IconVacancies 1 Remote IconRemote No
Location Location(s) Chicago , United States

Description Job Description



As a Senior Analyst with LSEG’s Agriculture Research team, you will perform quantitative analysis and modeling of agricultural commodity markets, with a focus on grains and oilseeds—particularly corn and soybeans. This role supports LSEG's research in crop production, supply and demand, trade flows, biofuel markets, and pricing trends. The position also involves client engagement through meetings, webinars, conference presentations, and press interactions.

Key Responsibilities:

  • Model Development: Design and maintain predictive models that analyze and forecast corn and soybean consumption, and biofuel/biodiesel production.
  • Research Expansion: Conduct research to address client needs in biofuel/biodiesel markets, independently carrying out studies and presenting findings in innovative ways.
  • Market Reporting: Collaborate with analysts to produce forward-looking reports on corn and soybean markets, including trade flows, weather risks, pricing, and key market drivers.
  • Trade Flow Tracking: Monitor and analyze global trade data, writing insightful commentaries on agricultural commodity trading.
  • Data Processing and Delivery: Use PowerBI and similar tools to process and deliver ag-related data and research on LSEG platforms.
  • Client Engagement: Promote LSEG’s agricultural research via client meetings, webinars, and industry events. Collaborate with Sales, Marketing, and Customer Success teams to expand client engagement.

Qualifications:

  • Education: MSc in Agricultural Economics, Agronomy, Geography, Plant Sciences, Data Science, or a related field is preferred.
  • Experience: 1-3 years in research or financial modeling within agriculture.
  • Technical Skills: Proficiency in Python for data analysis; familiarity with R or Matlab is advantageous. Expertise in PowerBI is a strong asset.
  • Analytical Skills: Proven ability to develop predictive models.
  • Communication: Proficient in English, with additional proficiency in Spanish or Portuguese as a plus.

About LSEG:

LSEG is a global leader in financial markets infrastructure and data, committed to promoting financial stability, sustainable growth, and inclusion. With operations in 65 countries and a workforce of over 25,000, we value individuality and embrace diversity. Our core values—Integrity, Partnership, Excellence, and Change—guide our daily actions and decisions.

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