The Arium models quantify the systemic and emerging liability risks that can lead to significant aggregations and clash risks across portfolios, ranging from climate change to recessions to chemical exposures and across major commercial liability lines, including commercial general liability and professional/management liability lines. Your research into liability catastrophes, emerging risks, and their impact on the insurance industry will directly influence model development and support this fast-growth space in the liability industry. This role is part of Arium's research team and will be based out of the Verisk's Jersey City [EH1] or Boston offices.

ABOUT THE DAY TO DAY RESPONSIBILITIES OF THE ROLE

• Conduct immersive research and analysis related to liability catastrophes, including research into current and evolving regulation, historical litigation/precedents/settlements, insurance industry developments, and economic trends.
• Research emerging liability catastrophe scenarios ("emerging risks") and develop relevant subject matter expertise. Recommend potential narratives and pathways for the emergence and development of the emerging risk event. Examples of emerging risk events include PFAS contamination, Climate Change risk, Microplastics, and more.
• Collaborate closely with other teams within Arium and provide research and support for the development of liability parameters, such as event frequencies and legal and regulatory constructs, amongst others. Synthesize diverse research into actionable model recommendations to the analytics and modeling teams. Defend recommendations and support necessary follow-up research.
• Assist in the response to new liability events as they happen, with relevant research and event description documents
• Conduct preliminary data analysis to validate research hypotheses and to review data quality/applicability
• Present research to clients and prospects (including insurers, reinsurers, and brokers), and at (re)insurance industry conferences/webinars
• Support Arium client services through responses to relevant client inquiries
• Collaborate closely with other business units and experts across Verisk, including other catastrophe modeling and research teams in Extreme Event Solutions and actuarial, coverage, and emerging issues research departments within Verisk Underwriting Solutions

#LI-SM1

#LI-HybridQualifications

• Bachelor's Degree in Economics, Humanities, Social Sciences, or other research-related disciplines
• 1- 2 years of research experience preferred
• High proficiency in Microsoft Office Suite (Word, Excel, PowerPoint)
• Prior experience in Property & Casualty Insurance/Reinsurance is a plus
• Experience with data analysis and data processing is a plus, preferably using R/Python
• Familiarity with basic statistical concepts is a plus
• Ability to work independently and as part of a team
• Strong interpersonal, oral, and written communication skills, including presentation skills

About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We're 7, 000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

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.

https: //www.verisk.com/company/careers/

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.