Join Qube Research & Technologies
Qube Research & Technologies (QRT) is a leading global quantitative and systematic investment manager, specializing in liquid asset classes worldwide. Our technology- and data-driven approach to investing is rooted in a scientific methodology. By blending data, research, technology, and trading expertise, we foster a collaborative mindset that empowers us to tackle the most complex challenges in the industry. Our culture of innovation continuously motivates us to deliver exceptional returns for our investors.
Job Opportunity: Senior Agronomical Engineer (South America Crop Forecasting)
We are seeking a Senior Agronomical Engineer to join our Commodities team in Geneva. This pivotal role involves developing and validating proprietary production forecasts for key South American crops such as soybeans, corn, and wheat. The successful candidate will leverage in-depth regional agronomic knowledge alongside advanced quantitative data science to enhance high-value agricultural commodity research and supply modeling.
Your Future Role Within QRT
- Analyze crop development across Brazil, Argentina, Paraguay, and Uruguay, assessing planting progress, phenology, yield formation, pest and disease pressures, and climate risks, while translating field observations into structured yield and production forecasts using statistical and machine learning models.
- Conduct regular field visits to collect 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 and Agronomy (or related field), along with a postgraduate qualification in quantitative data science or analytics.
- Demonstrated professional experience in South American soybean, corn, and/or wheat production systems.
- Experience 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. Please note that only applications matching the job profile will be considered.