Applied Statistician (Tropical Cyclone Modeling)

Employer
Verisk Analytics, Inc.
Location
Boston, Massachusetts, US
Salary
Competitive
Posted
Sep 10, 2021
Closes
Sep 17, 2021
Ref
2446002789
Discipline
Modeling
Employment Type
Full time
Salary Type
Salary
  • Boston, MA, USA
  • 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!

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 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
About the Role

Come join the Stochastic Modeling Team in AIR's Boston-based Research Department, and contribute to building the next generation of probabilistic catastrophe models for assessing the risk of hurricanes and tropical cyclones. Our team projects offer opportunities for creative problem-solving on a boundless set of interesting statistical 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 use of ensemble techniques to quantify uncertainties. 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 possessing sharp technical skills, we also hope you will bring a practical, applied mindset to the role. Our team's work contributes toward building tools that enable the (re)insurance sector to make sound decisions to enhance social resilience to natural catastrophes. For the right person, we have leeway to flex this hire toward recent graduates of advanced degree programs in statistics, or to seasoned statisticians with further research or industry experience.

About the Day to Day Responsibilities of the Role
  • Work with domain-area experts in meteorology, hydrology, and engineering to understand relevant data sets and translate model calibration and validation needs into statistical analysis and models
  • Contribute collaboratively to model formulation, improvement, and implementation for building the next generation tropical cyclone model based on latest science
  • Analyze and validate AIR's simulated hurricane track sets against observational data to ensure statistical robustness. In select cases, perform validation exercises to demonstrate compliance with rigorous regulatory statistical standards. As part of a team, defend the statistical analysis on behalf of AIR to external statisticians.
  • Contribute to identification, inference, and modeling of significant nonstationarities in tropical cyclone data, including those that may be due to climate change
  • Help formulate answers to client questions related to the statistical aspects of AIR's tropical cyclone models
Qualifications
About You and How You Can Excel in This Role

Required Skills and Qualifications:
  • Advanced degree in statistics strictly required (MSc. Required, PhD preferred, relevant post-doctoral experience may also be a plus)
  • Theoretical and applied command of time-series and/or spatial and/or spatio-temporal statistical modeling techniques
  • Excellent communication in both technical and non-technical contexts
  • Ability to present and defend statistical results on behalf of the organization in front of external statisticians and regulators. Willingness and confidence to provide statistical leadership and guidance to team members and senior management.
  • Motivated to contribute creative technical solutions to collaborative team projects, and to implement solutions reproducibly in robust and well-tested code
  • Fluency in at least one programming language (such as R, python, Matlab, fortran, C, C++, Java)
  • Experience with either data assimilation or Gaussian process emulation of high-dimensional computer models would be a bonus
  • Experience with R package development would be a plus.

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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.

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.