Position Summary
The role will contribute to the production of key risk measures and analytics including exposure reporting, performance reporting, VaR, stress modelling, scenario analysis and the overall development of Corporate Risk's market and credit risk metrics.

Major Opportunities and Decisions include:

• Work with Senior Manager, Analytics and other team members to ensure accurate analysis and reporting of market risk exposures
• Play an integral role in the development and management of daily system processes
• Play an integral role in the development of the SAS risk analytical engine
• Play an integral role in the improvement/development of risk metrics and reporting
• Work with key trading staff to ensure accurate valuations/price mappings of all commodity exposures
• Work with key quantitative staff to improve the added value of the global risk and performance metrics
• Working across a large array of commodities and markets (physical and derivative)
• Build working relationships with front office traders and senior staff
• Build visualization tool, develop exception reports and perform analysis in support of Enterprise Risk Management project and Exchange Traded Management account management policy implementation

Core Functions

• Analyze code, test, debug, and document programming to satisfy Corporate Risk requirements
• Build and enhance Quantitative Risk models as directed by supervisor.
• Ensure the flawless production of risk metrics and market risk reports in a timely manner. Ensure that deadlines are met
• Ensure processes and reporting accurately reflects the level of risk in the portfolio and captures all known exposures. Enhance/modify the risk metrics and visualization as directed by supervisor
• Analyze the trends in the risk metrics to identify drivers and to ensure quality control of output
  

Skills/Experience Requirements:

• Advanced degree in Financial Engineer/Mathematics/Statistics or equivalent experience
• Experience in computer programming, SQL, and Tableau visualization tool
• Knowledge in option pricing, stochastic process, machine learning
• Excellent communications and presentation skills.
• The successful applicant should have strong technical know-how and is a result-oriented team player with demonstrated ability to lead discussions and take initiatives
• Ability to work under pressure, multi-task, shift priorities in short notice and meet tight deadlines

At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they're grown to where they're needed-in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.

Every day our people exemplify these values, which represent Bunge at its core:

* We Are One Team - Collaborative, Respectful, Inclusive
* We Lead The Way - Agile, Empowered, Innovative
* We Do What's Right - Safety, Sustainability, With Integrity

If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day - people who are #ProudtoBeBunge