Join Qube Research & Technologies
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager that excels in all liquid asset classes worldwide. We are a technology- and data-driven organization, dedicated to implementing a scientific approach to investing. By combining data analysis, research, technology, and trading expertise, we foster a collaborative environment that empowers us to tackle the most complex challenges in the investment landscape. Our culture of innovation fuels our ongoing ambition to deliver high-quality returns for our investors.
Position: Senior Agronomical Engineer (South America Crop Forecasting)
We are seeking a Senior Agronomical Engineer to join our Commodities team in Geneva. This role entails developing and validating proprietary production forecasts for key South American crops such as soybeans, corn, and wheat. As an expert in this field, you will blend deep regional agronomic knowledge with advanced quantitative data science to contribute significantly to our agricultural commodity research and supply modeling.
Your Future Role within QRT:
- Analyze crop development across Brazil, Argentina, Paraguay, and Uruguay by assessing planting progress, phenology, yield formation, pest and disease pressures, and climate risks. Translate field observations into structured yield and production forecasts using statistical and machine learning models.
- Conduct regular field visits to gather ground-truth data, evaluate crop conditions and management practices, maintain regional agronomic networks, and validate satellite-derived indices against observed conditions.
- Integrate multi-resolution satellite and drone imagery with geospatial datasets, applying advanced statistical methods to refine proprietary forecasting models and address structural biases related to crop calendars and double-cropping systems.
Your Present Skillset:
- Degrees in Agronomical Engineering or Agronomy (or a related field), with a postgraduate qualification in quantitative data science or analytics.
- Demonstrated professional experience in South American soybean, corn, and/or wheat production systems.
- Experience in working with remote sensing and geospatial agricultural datasets.
- Advanced proficiency in Python and applied statistical modeling.
- Ability to independently integrate field agronomy with quantitative forecasting frameworks.
Apply online using the form below. Only applications matching the job profile will be considered.