Research Scientist/Statistician job at AIR Worldwide

Job Description

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.

Would you like to work in a fast-paced, results oriented environment while still maintaining a good work life balance? Work on a wide variety of complex problems that allow for creative and innovative solutions.

Development and enhancement of natural hazards risk assessment tools related to tropical cyclones, severe thunderstorms, wild fires, and other natural hazards
Manage the collection and analysis of historical data; integrate the highest quality data into the modeling process
Develop computer code and run Monte Carlo simulations of natural hazards; Perform validation and verification of model output, including loss estimates associated with specific perils; Evaluate and quantify the uncertainty associated with model output; Implement the modeling methodology over a wide range of spatial scales
Participate in client studies and consulting projects; Perform client presentations and respond to client questions; Contribute to model submissions for regulatory use

Knowledge, Skills and Abilities:

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
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
Ph.D. or M.S. in statistics or related quantitative field; (Ph.D. degree preferred, M.S. required)
2+ years of professional experience in a technical environment; Experience in insurance/reinsurance applications would be an advantage

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