Research Scientist/Statistician
Air Worldwide - Boston, MA

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AIR Worldwide (AIR), a member of the Verisk Insurance Solutions group at Verisk Analytics, is the scientific leader and most respected provider of risk modeling software and consulting services. AIR founded the catastrophe modeling industry in 1987 and today models the risk from natural catastrophes and terrorism in 90 countries.

AIR offers the opportunity to work with advanced technologies, global clients, and hundreds of the most innovative, talented minds in the industry. AIR Worldwide is currently seeking a Research Scientist/Statistician in its headquarters located at 131 Dartmouth Street in Boston. AIR Worldwide is the leader in risk assessment related to natural hazards such as hurricanes, severe thunderstorms, earthquakes, and wildfires. Other application areas include modeling of risk related to crop failures, pandemic flu outbreaks, mortality risk, longevity risk, and man-made hazards such as terrorism. This position is located in AIR’s Research and Modeling Group. Key responsibilities and requirements are listed below.


Development and enhancement of natural hazards risk assessment tools related to tropical cyclones, severe thunderstorms, wildfires, and other natural hazards
Develop computer code and run Monte Carlo simulations of natural hazards; Perform validation and verification of model output, including loss estimates associated with individual perils; Evaluate and quantify the uncertainty associated with model output; Implement the modeling methodology over a wide range of spatial scales
Contribute to the development of a model to assess longevity risk
Participate in client studies and consulting projects; Perform client presentations and respond to client questions; Contribute to model submissions for regulatory use


Strong background in probability theory and statistics (including stochastic processes, spatial statistics, time series analysis, regression modeling, Bayesian methods, etc.)
Interest and ability to gather, understand, and develop models for historical data on natural hazards
Interest in mortality and longevity modeling
Solid technical programming skills (e.g. C/C++, FORTRAN, R, S-Plus, SAS, and ArcGIS)
Strong communication and presentation skills
Ability to achieve goals and meet deadlines while working on multiple tasks
Highly motivated and self-directed with demonstrated experience in advancing complex projects

Degree requirements
Ph.D. or M.S. in statistics (Ph.D. degree preferred, M.S. required)
2+ years of professional experience in a technical environment

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All insurance coverage is based upon calculated risk -- but who's doing the calculating? Insurance Services is one source for such...