Freight Researcher / Data Scientist

  • Louis Dreyfus Company
  • Genève, Switzerland
  • 29/05/2019
Full time Data Science Data Engineering Data Analytics Statistics

Job Description

Louis Dreyfus Company is a global merchandiser of commodities, a major asset owner and a global processor of agricultural goods. With more than 160 years of experience, our portfolio has grown to include Oilseeds, Grains, Freight, Finance, Juice, Cotton, Coffee, Sugar, Metals, Dairy and Fertilizers & Inputs. Our diversified activities span the value chain, where we operate from farm to fork. Today we help to feed and clothe up to 500 million people, originating, processing and transporting approximately 80 million tons of commodities around the world annually. We are present in more than 90 countries and employ 20,000 people globally.
Central to our global commodity processing and trading activities, the Ocean Freight Platform has grown to become one of the largest worldwide chartering entities.

Main Responsibilities

As part of a growing team of traders and researchers, you will help to design and organize research and market intelligence
Your tasks include but are not limited to:

  • Take responsibility for research on Panamax vessels carrying mainly grains, coal and iron ore.
  • Maintain and improve a database of global commodity flows
  • Be the main point of contact with internal grain research team
  • Structure proprietary information into in-house data sets
  • Backtest fundamental indicators to identify factors influencing Freight price
  • Liaise on daily basis with traders and other research analysts to bring new insights to trading strategies
  • Design the value-added visualization and predictive features which will assist the department in making trading decisions
  • Develop a view on Freight price and share it with traders
  • Prepare presentations to the Freight platform
  • Actively participate in the platform's innovation center which analyses big and/or unstructured datasets.


The successful candidate will enjoy project responsibility, exposure to senior management and the ability to play a key role in adapting the platform strategy to data-intensive commodity markets of the 21st century.


  • Relevant working experience in front office/research department of a trading house or financial institution.
  • Previous exposure to agri commodities is a plus


  • Good communication skills
  • Proactive, enthusiastic mind with genuine interest in new technologies and global commodity markets


  • English (Fluent)
  • French (Fluent)


  • Master in Engineering / Computer Sc. / Data Science / Mathematics / Physics / Economy
  • Proficiency in R or python and SQL.