Associate Director - Agricultural Modeling
Core
Develop advanced crop yield models and stochastic simulation frameworks for U.S. crop insurance and reinsurance markets using statistical, machine learning, and hybrid approaches.
Role type
Senior quantitative agricultural modeler (IC)
Builds
Production crop yield forecasting models and risk assessment tools
Domain
Agriculture + Catastrophe Analytics
Deliverable
production ML models
Required skills
Python, R, stochastic simulation, machine learning, statistical modeling, data visualization, portfolio analysis, remote sensing data processing
Preferred skills
US crop insurance market knowledge, optimization techniques, weather/climate dataset experience
Technologies
Python, R, remote sensing data, vegetation indices, soil moisture measurements
Responsibilities
Execute data preparation, validation, and postprocessing for agriculture modeling; Develop crop yield models for major U.S. crops; Design stochastic yield simulation frameworks; Develop in-season crop yield forecasting models; Improve analytical processes for efficiency; Present results and respond to queries on exposure data and risk.
Seniority
Senior, hands-on IC