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Actuary [Remote-US]

LinkedIn Quanata San Francisco, CA
Mid-Senior level Posted April 17, 2026 Job link
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Requirements
  • 6-8 years of hands-on experience in P&C ratemaking, with a strong track record of automating actuarial solutions
  • Deep programing experience in at least one of: Python (Pandas, NumPy, and Scikit-learn) or R (dplyr, ggplot2, caret)
  • Solid understanding of statistical techniques including GLM, with the ability to build models and interpret results
  • Progress towards ACAS/FCAS designation (expected to have passed 5+ exams)
  • Expert knowledge of insurance fundamentals, including pricing methodologies, reserving techniques, and regulatory requirements
  • Proficient SQL and modern data warehouses (Snowflake preferred).
  • Experience using data visualization tools (Matplotlib, Seaborn,Tableau, or similar)
  • Excellent communication for cross-functional collaboration
  • Entrepreneurial mindset with a passion for innovation and driving new product development Bonus Points
  • Multi-language programming experience (Python + R + SQL) with cloud platform knowledge (AWS, Azure or similar)
  • Experience building models using GLMs or other machine learning techniques
  • Understanding of telematics data and usage based insurance model development
Preferred Skills
  • Proficient SQL and modern data warehouses (Snowflake preferred).
  • Multi-language programming experience (Python + R + SQL) with cloud platform knowledge (AWS, Azure or similar)
  • Experience building models using GLMs or other machine learning techniques
  • Understanding of telematics data and usage based insurance model development
Education
  • (Not required) – BS/BA in Math, Statistics, Economics, Actuarial Science or similar or equivalent relevant experience
  • (Not required) – Progress towards ACAS/FCAS designation (expected to have passed 5+ exams)