Actuarial Analyst

  • 36519
  • Non-Life - Actuarial
  • |
  • California, United States
  • |
  • Jan 2, 2020
Insurance
RESPONSIBILITIES
  • Collects and compiles aggregate data for ratemaking and research, and performs thorough review of both aggregate and individual insured data for errors, anomalies, and changing trends.
  • Corresponds verbally, as well as in writing, with company members and other customers such as the insurance department and governmental agencies, on complex technical and data quality issues.
  • Interacts and communicates with representatives of other units of the company on various data-related and operational projects and issues.
  • Performs various studies of experience by classification.
  • Performs peer review of other analysts’ work.
  • Independently performs thorough actuarial analyses of aggregate data, applying judgment and discretion in the analyses, identifying trends and cost drivers, and communicating results and recommended actions to management, for the production of reports and presentations.
  • Develops new data products or services and engages in the fulfilment of data compilation and analysis requirements pursuant to statutory and regulatory mandates and other business requirements.
  • Performs thorough actuarial studies with minimal supervision and recommends enhancements to processes or methodologies to achieve greater accuracy or efficiency.
  • Responsible for producing actuarial analyses and projections in rate filings.
  • Provides training for other analysts in core procedures and projects.
QUALIFICATIONS
  • Educational background with a strong GPA in a technical field such as mathematics, actuarial science, applied statistics, or economics.
  • Minimum of two years’ demonstrated proficiency as an Associate Actuarial Analyst or equivalent actuarial position.
  • Completion of at least three Casualty Actuarial Society examinations.
  • Ability to communicate both effectively and professionally, both verbally and in writing.
  • Strong listening and interpersonal skills.
  • Proficiency in the following three areas: mathematics, applied statistics, or programming.
  • Proficiency in Microsoft Office Suite.
  • Able to work independently or with minimal supervision.