AIR Worldwide, the leader in risk modeling solutions, is seeking a Research Scientist for our Boston office to join our growing cyber risk modeling team.  The successful candidate will have the opportunity to contribute to an exciting and emerging modeling project early in the development process.  Learn more about AIR’s work in cyber risk modeling here: http://www.air-worldwide.com/Models/Cyber/.

 Key Responsibilities:

·        Work in a team responsible for developing cutting edge models to estimate potential losses from cyber attacks

·        Collaborate with members of AIR’s marketing, sales, consulting, and product management teams to get solutions into the market

·        Gather relevant cyber data and apply state of the art data science techniques

·        Develop code and run probabilistic modeling simulations; model extreme cyber scenarios; perform validation and verification of model output, including loss estimates associated with individual perils, such as business interruption and liability

·        Participate in client studies and consulting projects; respond to client questions; ensure that models adhere to regulatory standards

Background and qualifications:

·        Previous experience and interest in cyber risk

·        Strong background in data analysis, probability, and statistics (preferably including stochastic processes, time series analysis, regression modeling, Monte Carlo methods, etc.)

·        Knowledge of machine learning algorithms and their applications

·        Solid scientific programming skills, preferably including experience with either C++ or Java, either Python (specifically numpy/pandas) or R, and SQL

·        Strong communication and presentation skills

Degree requirements:

·        M.S. in a quantitative field (Ph.D. preferred)

·        2+ years of experience in a technical environment