Manager for Enterprise Risk Management at PCCW Group overseeing risk assessments and compliance. Collaborating across teams to enhance governance and implement risk strategies.
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.
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