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Actuarial Analyst - Property and Casualty; remote U.S

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Milliman
Remote/Work from Home position
Listed on 2026-03-09
Job specializations:
  • Finance & Banking
    Actuary
Salary/Wage Range or Industry Benchmark: 136160 USD Yearly USD 136160.00 YEAR
Job Description & How to Apply Below
Position: Actuarial Analyst - New York Property and Casualty (remote U.S.)
Location: New York

Employer Industry: Actuarial Consulting

Why consider this job opportunity:
  • Salary up to $136,160
  • Eligibility for an annual bonus program based on performance
  • Comprehensive benefits package including medical, dental, vision, and 401(k) matching
  • Remote work opportunity, allowing flexibility in your work environment
  • Paid Time Off (PTO) accruing from the first day of work, with a minimum of 15 days per year
  • Opportunities for professional development and skills training
What to Expect (Job Responsibilities):
  • Perform data analysis related to client projects, ensuring accuracy and consistency
  • Develop and utilize actuarial models to support client needs
  • Draft reports and prepare correspondence for internal and external stakeholders
  • Present findings to peers and project managers to facilitate decision-making
  • Collaborate with actuaries and principals on various assigned tasks
What is Required (Qualifications):
  • Completed bachelor’s degree in actuarial science, mathematics, data science, statistics, or a related quantitative field
  • Two or more actuarial exams passed
  • Between one and four years of professional actuarial experience, including internships
  • Strong technical skills in Excel, with experience in data management and automation
  • Excellent written and oral communication skills, with the ability to explain complex concepts clearly
How to Stand Out (Preferred Qualifications):
  • Prior experience in Property & Casualty reserving and/or pricing
  • Proven technical skills in programming languages such as R, Python, or SQL, with a preference for R
  • Experience in predictive modeling or a strong interest in the field

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