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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in market analysis, quantitative modeling, and the application of AI-driven techniques to enhance trading strategies and risk management. Proficient in building analytical models and automating data pipelines to deliver actionable insights in commodity trading.
Highest-signal resume keywords
Market AnalysisQuantitative ModelingCommodity Trading ExperiencePython ProgrammingData Visualization with Power BI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical TechniquesAI-Driven TechniquesExcel-Based ModelingData AnalysisForecastingScenario AnalysisAnalytical Model BuildingRisk ManagementData Pipeline AutomationDecision Tool Development
Soft Skills
Actionable Insight TranslationCollaboration with Internal Teams
Tools & Technologies
Power BITableauPythonRSQL
Industry Keywords
Global Commodity MarketsSupply and Demand FundamentalsProcurementMarket Point-of-View DevelopmentLogistics
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Lead or contribute to global supply and demand modeling, scenario analysis, and market point-of-view development
- Apply statistical, quantitative, and AI-driven techniques to improve forecasting and identify trade opportunities
- Translate complex market data into actionable trading strategies
- Build and maintain analytical models, dashboards, and decision tools supporting trading and risk management
- Automate data pipelines and improve the speed and quality of market insights
- Partner with internal teams to integrate advanced analytics into commercial workflows
- Evaluate market conditions, assess exposure and scenario impacts, identify market opportunities, and provide actionable analysis for planning, risk management, and decision-making
Requirements
What you’ll need- High School diploma or GED
- 2+ years of experience in commodity trading, procurement, or related markets
- Demonstrated experience in market analysis, supply/demand fundamentals, or quantitative modeling
- Bachelor’s degree in Ag Business, Economics, Finance, Engineering, Data Science, or related field preferred
- Experience with Excel-based modeling and data analysis
- Programming experience with Python, R, SQL or similar preferred
- Experience with data visualization tools such as Power BI or Tableau
- Strong understanding of global commodity markets and logistics
- Ability to translate data insights into commercial decisions
- Experience with AI/ML applications in forecasting or trading analytics preferred
- Selected candidate must pass required pre-employment screenings, if applicable
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Wellness programs
- Life insurance
- Health and dependent care spending accounts
- Paid time off
- 401(k)
- Pension
- Profit sharing
- Short- and long-term disability
- Tuition reimbursement
- Adoption assistance
