Jobs · New Jersey

Associate Actuarial Consultant - Commercial Property

Verisk · Jersey City, NJ · 1 wk ago
HybridFull-time

About the role

We are seeking an Associate Actuarial Consultant to join our Commercial Property Actuarial Product team. This team is responsible for shaping and innovating pricing solutions across Commercial Property, Commercial Inland Marine, Equipment Breakdown, and related specialty property lines. The role involves playing a meaningful role in the development of actuarial products that address new and emerging insurance risks, influencing market-leading pricing strategies, and supporting customers in managing increasingly complex exposures.

Responsibilities

  • Work on projects independently or in collaboration with other functional areas that target on developing enhancements and innovations to actuarial products and procedures for Commercial Property ratemaking
  • Collaborate closely with other ISO divisions on new products that may be actuarial or underwriting focused
  • Maintain a high level of customer engagement through product presentations and responses to customer inquiries
  • Guide and provide actuarial analyses in supporting, maintaining and enhancing existing Commercial Property actuarial products
  • Analyze market, industry, competitor, legal, and regulatory trends and use these to provide actionable insights that drive the business of both the company and its customers
  • Interact with regulatory authorities to support new/enhanced products

Qualifications

  • 7+ years of P&C actuarial experience required; property and/or pricing experience preferred
  • ACAS or higher preferred; Exam 5 is required
  • Experience in quantitative and qualitative data analysis strongly preferred
  • Demonstrated ability to lead initiatives, work independently and as part of a team
  • Strong interpersonal, oral, and written communication skills, including presentation skills
  • Familiarity with predictive analytics modeling preferred but not required
  • Familiarity with ratemaking or classification methods preferred but not required
  • Strong computing skills desired, such as SQL, Python, or R

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