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Senior Quant Researcher

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Job ID 220270 Date posted 07/21/2022 Location : Schiphol, Netherlands | Geneva, Switzerland

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 155,000 employees who are committed to safe, responsible and sustainable ways to nourish the world. This position is in Cargill’s agricultural supply chain business, where we seamlessly connect farming customers with food, feed and industry.

Job Purpose and Impact

The Trading Data and Analytics (TDA) group is focused on bringing innovation, global integration, and cross-organization collaboration to Cargill’s trading data and analytics landscape. The team seeks to tap into the potential of Cargill’s vast data supply, applying new models and globally integrated perspectives to generate strategic insights that will promote Cargill’s competitive position and ultimately grow trading earnings. 

As a member of the TDA Quant x Cash team, you will work with trading and merchandizing teams focused on Cargill’s footprint in agricultural around the globe. You will work on a multidisciplinary and collaborative team exploring, connecting, and mining data. In this role, you will be working on projects that use statistical modeling and machine learning techniques to develop decision-making tools and strategies, creating impact in our daily business activities. 

Key Accountabilities

  • Design decision making solutions and build tools globally relating to fundamental and non-fundamental influences on commodity markets. 
  • Lead the discovery and prototyping of new quantitative tools and strategies. 
  • Develop scalable machine learning components to generalize models to other data sources, commodities or products and maintain advanced statistical ensemble systems. 
  • Benchmark, back test and stress-test models to identify true sensitivities and risks. 
  • Maintain and enhance code repository and models infrastructure in a scalable fashion. 
  • Coordinate with the trading desks on the model's correct usage to validate conclusions and improvement opportunities. 
  • Conduct complex market analyses and advise the trading team to adjust their positions as appropriate. 
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. 
  • Other duties as assigned 


 Minimum Qualifications

  • MSc degree in science/math/engineering/operations research/quant finance
  • Minimum of four years of related work experience 
  • Experience with advanced statistical methods
  • Knowledge of machine learning applications 
  • Fluent in English.

 Preferred Qualifications 

  • PhD in science/ math/ engineering/ operations research/ quant finance 
  • Experience with good practice software development and engineering methods, preferably using Python
  • Comfortable in general with concepts in applied mathematics 
  • Experience in alternative data in agriculture, energy, commodities 

We provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.

Interested? Then make sure to send us your CV and cover letter in English today:  
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