Actuarial Analyst

  • 37531
  • Non-Life - Actuarial
  • |
  • California, United States
  • |
  • Jun 11, 2020
  • You will gain industry expertise in all the core actuarial disciplines, as well as develop highly visible analytics solutions under the supervision of seasoned actuaries.
  • Pricing, conduct sound actuarial analyses and support findings, such as trend identification and overall rate adequacy, as part of the semi-annual rate review process.
  • Reserving, utilize actuarial reserving methods to project losses to ultimate as part of the quarterly reserve review process.
  • Analytics, apply predictive analytics to improve business processes and communicate quantitative results in a digestible format across different business functions, including Claims, Underwriting, and Enterprise Risk Management.
  • Dashboarding, Tell a story with numbers. Create interactive and dynamic dashboards using Tableau to provide insightful information and enable data-driven decisions from key stakeholders.
  • Education, actively pursue research and education development opportunities. You will have access to a number of continuing education programs offered at the company, including the Actuarial Study Program.
  • Leadership, you will have opportunities to work on highly visible projects. You will have considerable freedom to pitch ideas and change the status quo.
  • Feedback, Department and peer leaders will provide feedback to continually develop strengths and address areas of improvement to achieve a new level of success.
  • Pursuing or possess a Bachelor’s or Master’s degree in Actuarial Science, Computer Science, Data Science, Economics, Statistics, or related quantitative subjects.
  • 0 - 2 years of Actuarial experience.
  • Completion of one or more actuarial exams is required. Two or more exams is preferred.
  • Experience using SQL and a comprehensive understanding of relational databases is highly preferred.
  • Basic knowledge of R, Python, or other statistical software is highly preferred.
  • Predictive modeling experience is preferred.
  • Proficiency in Excel spreadsheet.
  • Basic knowledge with data visualization software is a plus.
  • Some experience using Visual Basic Application in Excel is a plus.
  • Complies with professionalism standards set by the Casualty Actuarial Society.