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Quant Analyst

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Job ID 131697 Date posted 08/23/2021 Location : Shanghai, China |  | Minneapolis, Minnesota | Abidjan, Ivory Coast | São Paulo, Brazil | Schiphol, Netherlands

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 team 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 Quant x Cash team the Senior Quant Analyst will perform the most complex analytics and market 
intelligence activities to develop business intelligence, optimize effectiveness and predict business outcomes focused on 
Cargill’s footprint in agricultural around the globe. In this role, you will independently research data, market information 
and trends and create and maintain complex, global modeling tools and systems. You will be accountable for analyzing 
data and interpreting and executing strategies, sharing best practices.

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

Qualifications

MINIMUM QUALIFICATIONS

  • Bachelor’s degree in science/math/engineering/operations research/quant finance
  • Minimum of four years of related work experience
  • Experience building advanced statistical methods
  • Knowledge of Machine Learning applications
  • Fluent in EnglishCargill is an EEO/AA employer. 
  • Cargill is an international producer and marketer of food, agricultural, financial and industrial products and services. Founded in 1865, the privately held company employs 142,000 people in 66 countries. Cargill helps 
  • customers succeed through collaboration and innovation, and is committed to applying its global knowledge and experience to help meet economic, environmental and social challenges wherever it does business.

PREFERRED QUALIFICATIONS

  • MS in science/ math/ engineering/ operations research/ quant finance
  • Experience in a software development environment and code management
  • Experience in with alternative data in agriculture, energy, commodities
  • Solid programming experience, preferably with Python

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:  
Follow us on LinkedIn: https://www.linkedin.com/company/cargill

Cargill is committed to being an inclusive employer. Click here to find out more https://careers.cargill.com/diversity/

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