Job Description

Job Description

Join our growing Research department as a member of our dynamic Boston-based agricultural risk modeling team. You will develop models that describe agroecosystems and how they can be affected by extreme weather - across spatial scales from individual farms to entire countries. As a member of this collegial team, you'll work both independently and collaboratively incorporating up-to-date scientific knowledge, data, and modeling approaches into our existing agricultural risk models and creatively developing and testing new crop and livestock models. You will engage directly with clients to see how our work impacts them and grow your career with leadership opportunities. This role is based in our Boston location which has a flexible hybrid work model (2-3 days per week in-office).

Responsibilities

About the Day to Day Responsibilities of the Role

• Develop and support models for agricultural risk in the US and around the world, describing the relationships between agricultural losses (e.g., crop yield reduction or livestock mortality) and meteorological or other factors. Assess and understand the statistical properties of and underlying drivers of model results.
• Lead research for application to future model development. Engage with the needs of our clients and translate those needs into our modeling products. Work collaboratively with agriculture market experts to develop market knowledge and domain expertise.
• Evaluate, build, and manage datasets that describe cropping systems in multiple regions of the world.
• Manage the collection and analysis of data related to assessing agricultural risk, such as temperature, precipitation, soil information, crop yields, crop damage, loss data, etc.
• Critically analyze weather data. Understand temporal and spatial characteristics of the magnitude and variability of key meteorological variables affecting agricultural systems, such as air temperature, precipitation, and wind speed.
• Solve complex problems -- independently or by leading collaborations. May lead projects or functional teams or may have accountability for on-going activities or objectives.
• Foster a team culture that encourages exploration of non-traditional ideas.
• Act as a resource for colleagues at many levels.
• Participate in the development of product or business strategy. Liaise with Verisk product development teams to generate model and product specifications.
• Play a key role in supporting clients to help them better understand how our models work.
• Navigate and manage multiple code repositories, data sets, and data archives to maintain and update our models with appropriate approaches to archiving, version control, and documentation.
• Prepare accurate and effective technical and non-technical documents. Create and deliver accurate and effective presentations to coworkers, company management, and clients.
• Ensure time, resources, energy, and actions are focused on priorities that matter. Reliably meet all team commitments and goals on time.

Qualifications

About You and How You Can Excel in This Role

• Ph.D. in (agricultural) meteorology, agronomy, animal science, soil science, natural resources, geography, environmental sciences, environmental engineering, statistics, applied math, computational biology, agricultural economics, or related discipline + 6 years relevant experience.
• Demonstrated strong leadership skills and ability to manage multiple projects and collaborate with cross-functional teams.
• Strong mathematical or statistical modeling experience with applications to agricultural and/or environmental sciences.
• Experience leveraging large (GB to TB-scale) datasets.
• Strong foundation in statistics.
• Market knowledge of crop insurance and domain expertise in crop insurance programs, especially multiple-peril crop insurance in the United States.
• Solid programming skills gained through practical experience using interpreted and/or compiled programming languages. Experience with the interpreted language R a plus.
• Demonstrated ability to learn new concepts and skills and to meet project objectives and deadlines.
• Excellent written and oral communication skills.
• Experience with SQL and/or ArcGIS is a plus.
• Experience in any of the following fields would be a plus: climate change, weather forecasting, remote sensing, crop science, animal husbandry.
• Knowledge of the application of probabilistic modeling to (re)insurance a plus.

About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority.

We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Analytics is an equal opportunity employer.

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