Hybrid Commodity Risk Analyst

at Kimberly-Clark

• Job title: Commodity Risk Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $127,600 - $157,600 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Python, SQL
• Location requirements: Hybrid, Atlanta, United States

About the role

• Commodity Risk Analyst conducting research and price forecasting for Kimberly-Clark. Collaborating with teams to strengthen market analysis and mitigate commodity risks.

Responsibilities

• Provides long-term price visibility (3-5 years) and advanced analytics on critical commodities;
• Provides research insights to support commodity hedging decisions, as well as dispensing advice to procurement teams in making sound buying decisions.
• Actively recommends and deploys volatility mitigation actions to minimize K-C’s exposure.
• Analyze macro-economic trends and supply & demand outlook for portfolio commodities;
• Forecast long-term pricing movements leveraging advanced analytical techniques;
• Support development of exposure forecasts for hedging activities
• Execute analysis using standard processes for market research and price forecasting;
• Prepare volatility mitigation proposals with relative risk / reward (e.g., long-term contract vs. hedge, financial positions)
• Report updates on commodity trends, K-C impact and positions / price to key stakeholders, including relaying complex information in an accessible format to senior management.
• Liaise closely with Amplified Commodity Managers and category managers to understand commodity requirements, ensure flow of information from suppliers and execute volatility mitigation strategies.
• Develop commodity risk management capabilities with the Procurement function, Implement, and monitor related measures to increase enterprise strategic agility.
• Translate business requirements into technical solutions and analytics frameworks;
• Coordinate and participate in community of practice activities to drive shared learnings across the function.
• Design and implement automated models using time series analysis and statistical techniques to forecast commodity prices and volatility
• Apply R/Python for exploratory data analysis, regression modeling, and forward scenario analysis;
• Develop and maintain dynamic dashboards in Power BI to visualize commodity forecasts and risk analytics.

Requirements

• Bachelor’s Degree in an economics, finance, business, mathematics, computer science, or related discipline;
• 5+ years of relevant experience (at least 2+ years of experience hedging and/or data analytics)
• Adept understanding of derivative valuation and hedge accounting requirements.
• Familiarity with commodity analysis and experience with commodities (Fiber, Nonwovens, Resins, Super Absorbent Materials, Energy & Utilities) preferred.
• Experience with statistical modeling, regression analysis, and time series forecasting;
• adept programming skills in Python/R and SQL and experience building dashboards in Power BI.
• Skilled communication and data storytelling skills; able to relay complex issues in digestible, executive-level format.
• Advanced Excel and MS Office skills required; programming experience preferred;
• Familiarity with cloud platforms (e.g., Azure, Snowflake) is preferred.

Benefits

• Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.
• Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.
• Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.
• Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.
• Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.