Scientist, Hydrometeorology and Statistics

  • Full-time

Company Description

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

Come join the Stochastic Modeling Team in AIR’s Boston-based Research Department, and contribute to building state-of-the-art probabilistic flood models.  Our team projects offer opportunities for creative problem-solving on a boundless set of interesting 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 ensemble techniques to quantify uncertainty. We learn continuously through interdisciplinary collaborations with a diverse team of meteorologists, applied mathematicians, climate scientists, engineers, and hydrologists. As such, this is a fantastic position for a curious statistician with a passion for modeling atmospheric processes! In addition to sharp technical skills, we also hope you will bring a practical, applied mindset to the role. This role is responsible for delivery and maintenance of simulated precipitation catalogs for AIR’s state-of-the-art flood risk assessment capabilities.


Day to Day Responsibilities:


•    Develop and enhance stochastic and physically-based precipitation models for regions across the globe, with a focus on the practical application of precipitation modeling, data assimilation, risk assessment, and insurance industry
•    Collect, process, and analyze numerous and varied data types used for the precipitation simulation, bias correction, and validation processes.  These data may include in-situ and satellite-derived observations, as well as data products and numerical model output.
•    Be comfortable operating in real and near-real time on tight deadlines within a team to obtain the best possible representation of an actual precipitation event
•    Assimilate data into the modeling process to bring model output close to observations
•    Present AIR precipitation models to clients, government bodies and the science community
•    Work closely with the flood modeling team to ensure smooth delivery of products representing both historical and simulated precipitation
 

Qualifications

•    Advanced degree in statistics, climatology, applied mathematics, hydrometeorology or a closely related field required (Ph. D. preferred). 
•    Command of applied probability and geostatistics is essential, including applied experience with spatial or spatio-temporal statistical modeling and simulation. Experience in handling of large data sets would be a significant advantage, as would be familiarity with data assimilation techniques. 
•    Strong programming skills gained through practical experience using high-level language and tools such as Python, R, MATLAB. Skills in low level-languages such as C++ or  FORTRAN would be a plus, as would be comfort with shell scripting and batch job submission in a Linux setting. 
•    Ability to gather, integrate, and critically analyze relevant meteorological data from multiple sources, including private and public national and international agencies
•    Excellent written and verbal communication skills, for both technical collaboration within and across disciplines, as well as for non-technical communication with clients
•    Ability to achieve goals and meet deadlines while working on multiple tasks. Demonstrated project management skills would be a plus.
•    Passion for modeling the earth system under uncertainty
 

Additional Information

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. 

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