Join Qube Research & Technologies (QRT)
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, specializing in all liquid asset classes around the globe. Our organization is driven by technology and data, employing a scientific approach to investing. Through the fusion of data, research, technology, and trading expertise, we cultivate a collaborative mindset that enables us to tackle complex challenges. At QRT, our innovative culture continually fuels our ambition to deliver exceptional 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 critical role requires the development and validation of proprietary production forecasts for essential South American crops such as soybeans, corn, and wheat. By merging regional agronomic expertise with advanced quantitative data science, this expert-level position will contribute significantly to high-value agricultural commodity research and supply modeling.
Your Future Role Within QRT:
- Analyze crop development across Brazil, Argentina, Paraguay, and Uruguay, assessing factors such as 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 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.