Climate Change Researcher, Precipitation Analysis

2 weeks ago


Boston, Massachusetts, United States Extreme Event Solutions Full time
Job Overview

Company Overview

We are dedicated to unveiling new opportunities and driving transformation for a sustainable future. Our analytical solutions integrate content, data, and insights to empower businesses, individuals, and communities to become more resilient and sustainable.

Position Summary

Join our Research and Modeling Department within Extreme Event Solutions and play a pivotal role in developing catastrophe models and products aimed at assessing risk in a dynamically changing climate. This position offers the chance to create scientifically robust, statistically sound, and computationally efficient models focused on precipitation that leads to flooding. Collaborate with a team of experts to innovate and apply advanced scientific methodologies to enhance our hydrometeorological risk assessment capabilities, while also supporting client-facing teams on precipitation-related challenges.

Key Responsibilities
  • Deliver expert knowledge essential for constructing scientifically valid models of extreme precipitation.
  • Gather and analyze diverse in-situ and gridded precipitation datasets.
  • Develop, refine, and validate both statistical and physically based precipitation models, emphasizing practical applications in stochastic simulation, statistical downscaling, and risk evaluation.
  • Work in conjunction with meteorologists, hydrologists, and hydraulic engineers to convert stochastic precipitation simulations into a comprehensive understanding of global precipitation flood risk.
  • Evaluate and provide insights on the latest climate change research regarding its effects on precipitation extremes.
  • Occasionally operate in real-time to ensure accurate representation of significant precipitation events under tight deadlines.
  • Communicate models and relevant analytics effectively to clients, regulatory bodies, and internal stakeholders.
Qualifications

Ideal Candidate Profile

The successful candidate will possess:

  • An advanced degree in hydrometeorology, atmospheric and climate sciences, applied statistics, or related fields, with a focus on weather and climate extremes. A PhD is preferred, though exceptional MS candidates with relevant experience may also be considered.
  • Extensive knowledge of probability theory and (geo)statistics, with experience in statistical analysis, downscaling, or stochastic simulation of precipitation being a significant advantage.
  • Proficient programming skills acquired through practical experience with high-level languages and tools such as R, Python, MATLAB, C++, or FORTRAN. Familiarity with collaborative code development and version control is a plus.
  • Experience in gathering, integrating, and critically analyzing data from various sources of natural hazard information, including national and international agencies and private entities, in both real-time and historical contexts.
  • Exceptional written and verbal communication skills, particularly in presenting to diverse audiences.
  • A highly motivated individual capable of achieving goals and meeting deadlines while managing multiple tasks. Project management experience is a plus.
Additional Information

For over five decades, we have been a leading data analytics and technology partner to the global insurance sector, delivering value through expertise and scale. We empower communities and businesses to make informed decisions on risk more efficiently.

At our company, you will have the opportunity to express your unique voice and build a fulfilling career, supported by flexible work arrangements and comprehensive training. We are proud to be recognized for our outstanding workplace culture and prioritize inclusivity and diversity.

We are a strong team of 7,000 individuals committed to ethical innovation. We seek talented individuals to help us transform extensive data into impactful insights. Join us in creating exceptional experiences and a better future for generations to come.



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