Commodity Risk Analyst
Kimberly-Clark
AzureCloudPythonSQL
Commodity Risk Analyst
Kimberly-Clark
full-time
Posted on:
Location Type: Hybrid
Location: Atlanta • 🇺🇸 United States
Visit company websiteSalary
💰 $127,600 - $157,600 per year
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudPythonSQL
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticscommodity analysisstatistical modelingregression analysistime series forecastingderivative valuationhedge accountingvolatility mitigationprice forecastingadvanced analytics
Soft skills
communication skillsdata storytellingcollaborationanalytical thinkingproblem-solving
