Data Scientist

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!

With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

Arium, part of AIR Worldwide, is looking for a highly passionate and analytical individual to join the Data Science team in Boston. Arium tackles problems that are data poor and considered complex or unpredictable to create cutting-edge models of commercial liability risks for the global insurance and reinsurance community. As a key member of the Data Science team, you will collaborate with colleagues and partners at AIR Worldwide and across the reinsurance industry to enhance the ability of our product to identify, quantify, and manage catastrophic emerging liability risks. You will get to participate in every aspect of our model development cycle, from gathering requirements to scoping, research, development, testing, validation, and productization.

The Data Scientist will be responsible for the following:

• Be a key contributor to the team responsible for delivering cutting edge models to simulate catastrophic liability losses
• Develop Natural Language Processing (NLP) tools for parsing legal documents to create new modeling features and enhance our existing data sets
• Build and validate stochastic models of historical losses, run probabilistic modeling simulations of catastrophe scenarios, and validate model output
• Gather new and relevant data and apply cutting edge Data Science techniques to incorporate it into our simulation framework
• Update and monitor the quality of our primary data sets
• Participate in client studies and consulting projects, respond to client questions, and ensure that models meet client needs and adhere to regulatory standards

Background and qualifications:

• 
  Insurance or financial services background preferred
• 2+ years of work experience in a technical environment
• Strong background in data science, probability, and statistics (including stochastic processes, time series analysis, regression modeling, Monte Carlo methods, etc.)
• Experience with Natural Language Processing (NLP) in Python preferred
• Solid Python, R, and SQL programming experience
• Strong communication and presentation skills

Degree Requirements:

• 
  M.S. in a quantitative field including Mathematics, Statistics, Engineering, Physics, Computer Science, Economics, Experimental Psychology, etc.
• Candidates with a background in Econometrics or quantitative social sciences are encouraged to apply

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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