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Risk Modeler

Employer
Verisk
Location
Boston, Massachusetts, US
Salary
Competitive
Closing date
Sep 30, 2022

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Sector
Academic / Research
Field
Informatics / GIS
Discipline
Statistics
Salary Type
Salary
Employment Type
Full time
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Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

The Risk Modeler is primarily responsible for developing, enhancing, and managing vulnerability component of Verisk's wildfire portfolio risk analysis models. The candidate will be located in Boston and work closely with a team of engineers, scientists, statisticians, and specialists in the research department. Candidates fit this position are expected to be highly motivated and detail-oriented team player with sophisticated problem-solving skills.

Main Responsibilities
  • Collect and analyze wildfire datasets to build a solid understanding of wildfire damages and losses.
  • Build vulnerability models of buildings, infrastructures, and industrial facilities subjected to wildfires as well as wildfire smoke.
  • Build a broad knowledge base of wildfire risk mitigation, state legislation, and wildfire related insurance regulations. Incorporate the knowledge into Verisk's wildfire models through robust, efficient, and realistic algorithms.
  • Assist in client support by providing technical analysis, conference presentation, and written documentation.
Qualifications
  • Master's degree in Mathematics/Statistics/Economics/Engineering or other quantitative discipline with 3+ years of related experience or PhD degree in Mathematics/Statistics/Economics/Engineering or other quantitative discipline.
  • 3+ years working with large data sets.
  • Hands-on experience in wildfire risk assessment and modeling. Without wildfire modeling experience, candidates with rich experience in modeling other natural catastrophe perils is equally qualified.
  • Proficient in programming with Python or R. C++ programming capability is a plus.
  • Demonstrated experiences in statistical and probabilistic modeling. Familiar of GIS data process, analyzation, and visualization is a plus.
  • Excellent written and verbal communication skills.
Preferred
  • Coding in SAS or SQL
Additional Information

Extreme event solutions at Verisk (formerly AIR Worldwide) provides risk modeling solutions that help individuals, businesses, and society become more resilient to extreme events. In 1987, Verisk founded the catastrophe modeling industry and today models the risk from natural catastrophes, supply chain disruptions, terrorism, pandemics, casualty catastrophes, and cyber incidents. Insurance, reinsurance, financial, corporate, and government clients rely on Verisk's advanced science, software, and consulting services for catastrophe risk management, insurance-linked securities, longevity modeling, site-specific engineering analyses, and agricultural risk management. Verisk's extreme event solutions team is headquartered in Boston, with additional offices in North America, Europe, and Asia. For more information, please visit www.air-worldwide.com. For more information about Verisk, a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services, please visit www.verisk.com.

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.

It's the reason Verisk is part of the UN Global Compact sustainability initiative. It's why we made a commitment to balancing 100 percent of our carbon emissions. It's the aim of our "returnship" program for experienced professionals rejoining the workforce after time away. And, it's what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers' problems.

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.

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.

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.

Consumer Privacy Notice

Effective November 15, 2021, and subject to applicable law, all prospective hires for this position will be required to demonstrate that they are fully vaccinated against COVID-19 by their start date, or qualify for a legally-required medical or religious accommodation to this vaccination requirement, as a condition of employment. Hired candidates who do not demonstrate that they are fully vaccinated against COVID-19 by their start date, and who have not been approved for a legally-required medical or religious accommodation will no longer meet the requirements for employment and their offers of employment will be immediately rescinded, in accordance with applicable law.
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