AIR Worldwide (AIR), a Verisk business, provides risk modeling solutions that make individuals, businesses, and society more resilient to extreme events. In 1987, AIR Worldwide founded the catastrophe modeling industry and today models the risk from natural catastrophes, terrorism, pandemics, casualty catastrophes, and cyber attacks, globally. Insurance, reinsurance, financial, corporate, and government clients rely on AIR's advanced science, software, and consulting services for catastrophe risk management, insurance-linked securities, site-specific engineering analyses, and agricultural risk management. AIR Worldwide, is headquartered in Boston with additional offices in North America, Europe, and Asia. To learn more about AIR, please visit us at:?www.air-worldwide.com. We are proud to be a part of the Verisk family of companies!
At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.
Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.
But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.
It's the reason Verisk is part of the UN Global Compact sustainability initiative. It's why we made a commitment to balancing 100 percent of our carbon emissions. It's the aim of our "returnship" program for experienced professionals rejoining the workforce after time away. And, it's what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers' problems.
At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.
At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We've been recognized by Forbes as a World's Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk's Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.Job Description
Statistician in Atmospheric Extremes
Join the Atmospheric Perils Team in AIR's Boston-based Research Department and contribute to the development catastrophe models and probabilistic representation of atmospheric extreme events. Research projects offers opportunities for creative problem-solving on a boundless set of interesting statistical problems at the interface of extreme weather, climate change, and risk. Catastrophe models depend fundamentally on hierarchical modeling of space-time physical processes, inference from heterogeneous and incomplete calibration data, and use of ensemble techniques to quantify uncertainties. We learn continuously through interdisciplinary collaborations with a diverse team of meteorologists, applied mathematicians, climate scientists, engineers, and hydrologists. In addition to possessing sharp technical skills, we also hope you will bring a practical, applied mindset to the role. Our team's work contributes toward building tools that enable the (re)insurance sector to make sound decisions to enhance social resilience to natural catastrophes.Day To Day Responsibilities
- Work with domain-area experts in meteorology, hydrology, and engineering to interpret observations and numerical simulations to generate statistical models of extreme events.
- Aid in the interpretation and maintenance of existing extreme event models.
- Develop innovative strategies in data analytics, workflows, and model formulation to accelerate production of the next generation of models and products.
- Analyze and validate AIR's extreme event catalog with recent observational data.
- Contribute to identification, inference, and modeling of significant non-stationarities within observational data, including those that may be due to climate change.
- Help formulate answers to client questions related to the statistical aspects of AIR's extreme event models.
Required Skills and Qualifications
- Advanced degree in statistics strictly required (MSc. Required, PhD preferred, relevant post-doctoral experience may also be a plus)
- Theoretical and applied command of time-series and/or spatial and/or spatiotemporal statistical modeling techniques
- Excellent communication in both technical and non-technical contexts
- Fluency in at least one programming language (such as R, python, Matlab, fortran, C, C++, Java)
- Experience with either data assimilation or Gaussian process emulation of high-dimensional computer models would be a bonus
- Experience with R package development would be a plus.
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