Associate Director - Agricultural Modeling

## Associate Director
- Agricultural Modeling Apply:
Remote
- Massachusetts:
Remote
- Minnesota:
Full time:
Posted Yesterday:
End Date:
December 28, 2026 (30+ days left to apply):
R0019818

Howden Re is the global reinsurance broker and risk, capital & strategic advisor focused on relentless innovation & superior analytics for top client service.  About Role Howden Re is the global reinsurance broker and risk, capital & strategic advisor focused on relentless innovation & superior analytics for top client service. People join Howden for many different reasons, but they stay for the same one: our culture.

It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change  are seeking an Agriculture Modeler to join our catastrophe analytics team and contribute to development of advanced solutions supporting the U.S. crop insurance and reinsurance markets.

This role is ideal for a quantitatively oriented scientist with background in physics, mathematics, statistics, engineering, data science, agricultural economics, or a related technical discipline.
** Primary Responsibilities :
*** Execute upon all aspects of agriculture modeling, including data preparation and validation, portfolio analysis and postprocessing, reporting of results, data visualization and mapping.
* Develop crop yield models for major U.S. crops including corn, soybeans, wheat, cotton, sorghum, rice, and specialty crops.
* Design stochastic yield simulation frameworks using probabilistic techniques and implement machine learning, statistical, and hybrid approaches for yield prediction and risk assessment.
* Develop in-season crop yield forecasting models utilizing weather observations, climate forecasts, remote sensing data, vegetation indices, soil moisture measurements, and other agricultural datasets.
* Improve analytical processes to achieve greater efficiency and better results for clients.
* Work closely with internal and external stakeholders to address client and market needs.
* Present results and respond to queries on topics including exposure data, real-time updates, model validation, view of risk, portfolio profitability and optimization.  Strategic thinking, problem solving, and communication of technical concepts are core to success in this role.
* 4+ years of research and quantitative modeling experience in developing statistical, predictive and/or simulation models.
* High level of proficiency in data analysis, manipulation, and visualization tools with strong programming background (preferably Python and/or R).
* Ability to independently formulate research questions and execute analytical studies.
* Strong organizational skills, including the ability to manage multiple tasks and projects simultaneously in a fast paced and results-driven environment.
* Excellent oral and written communication skills and ability to explain technical concepts succinctly to a non-technical audience.
* Bachelor’s or advanced degree in physics, mathematics, statistics, engineering or a related technical discipline (advanced degree preferred).
* Knowledge of US crop insurance market preferred.
* Experience in optimization techniques is desirable.
* Experience working with weather and climate datasets would be a plus.
* Legally authorized to work in the US.  The expected base salary range for this role is $100,000-$145,000. The base salary range and ultimate title is based on level of relevant experience and location and does not include other types of compensation such as discretionary bonus or benefits.
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* What we offer:

** A career that you define. Yes, we offer all the usual…