Manager, Commodity Pricing and Risk Management, Grains and Vegetable Oils

Mondelēz International•Toronto, ON

2d•CA$84,500 - CA$105,650•Onsite

About The Position

The Commodity Price Risk Management (CPRM) team at Mondelēz International works to match hedging activities to pricing activities to protect profit margins. This role involves analyzing commodity markets and developing tools to forecast market prices. The successful candidate will conduct monthly commodity analyses using supply and demand data and market price forecasts to aid the CPRM team in developing price risk management coverage strategy decisions. This includes improving constraint optimization to develop new, future-focused price models and long-range price forecasts, as well as tracking the CPRM team’s KPIs.

Requirements

Experience and knowledge in agricultural commodity research and commodity markets.
Experience with analysis methods in an international environment.
Experience in building market intelligence databases and developing sustainable, forward-looking price models.
Experience with Make or Buy and E2E analysis.
Mathematical and Excel expertise and/or knowledge of artificial intelligence.
Knowledge or experience in agricultural commodity research and markets.
Knowledge or experience in building and managing market intelligence databases.
Knowledge or experience in econometric modeling or statistical tools (e.g., Python, R, or other relevant software).
Knowledge or experience in Make-or-buy analysis and end-to-end market assessments.
Strong analytical and communication skills in an international setting.

Nice To Haves

An academic background in agronomy, economics, or a related field, with knowledge of commodity or financial markets.
A proactive mindset with an eagerness to innovate and develop new forecasting tools and strategies.
Ability to thrive in a collaborative, fast-paced, and results-oriented environment.

Responsibilities

Conduct monthly commodity analyses using the latest supply and demand data and best-in-class market price forecasts.
Develop price risk management coverage strategy decisions based on data analysis.
Improve constraint optimization to develop new, future-focused price models and long-range price forecasts.
Track the CPRM team’s KPIs.