Senior Actuarial Analyst

Verisk

Jersey City, NJ, United States Full time
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As a Personal Property Senior Actuarial Analyst, you’ll actively collaborate with cross-functional teams—including Actuarial Operations, Data Management, Compliance, and Product Services—to maintain, enhance, and develop market-leading personal property solutions that respond to the evolving competitive and technological landscape. If you’re passionate about leveraging analytics to drive meaningful change in the insurance industry and thrive in a collaborative, forward-thinking environment, we invite you to apply and make your mark with Verisk!

Responsibilities


In this dynamic position, you will:

• Become a key ambassador for your line of business, driving innovation and continuous improvement across our product portfolio.

• Conduct research on cutting-edge modeling techniques and new data sources, contributing to both the enhancement of current products and the development of new offerings.

• Deliver exceptional support by addressing customer and regulatory inquiries, providing expert guidance, and crafting marketing materials and publications that showcase our solutions.

• Build and nurture a strong professional network both within Verisk and across the industry to stay ahead of market trends and customer needs.

• Support and analyze rating bureaus and participate in special projects that influence the direction of our business.

• Lead the charge in updating and innovating personal property insurance programs to meet the demands of a rapidly changing business environment.

• Analyze market, industry, competitor, and regulatory trends, turning insights into actionable recommendations for company and client success.

• Travel occasionally for industry conferences and customer visits, representing Verisk as a trusted expert and partner.

Qualifications


Qualifications:

• Bachelor’s degree or equivalent experience required, additional relevant education a plus.

• Strong command of Microsoft Excel; programming skills (or interest in learning) such as SQL, Python, R, or SAS are highly valued.

• Experience in predictive modeling and/or data analysis preferred.

• Minimum of 2 years’ experience in insurance analytics (personal property experience preferred).

• Deep understanding of market, industry, customer, and competitor dynamics desired.

• History of fostering strong, innovative customer relationships and contributing to product development and improvement.

• Outstanding interpersonal, written, and presentation skills.

• Ability to excel both independently and within a collaborative team environment.

• Completion of at least 2 CAS exams, with a commitment to attaining CAS membership required.

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Skills

Microsoft ExcelSQLPythonRSASPredictive ModelingData AnalysisInterpersonal SkillsWritten CommunicationPresentation Skills