Sr. Actuarial Data Analyst

  • 37664
  • Non-Life - Actuarial
  • |
  • California, United States
  • |
  • Jul 2, 2020
Insurance
RESPONSIBILITIES
  • You will be expected to take on the development and implementation of analytical processes within the actuarial department to support actuarial functions with a level of autonomy.
  • You will be responsible for fully understanding actuarial needs, identifying and producing robust, intuitive solutions that enable decision makers.
  • You will be responsible for fully understanding techniques used, explaining validation metrics, identifying optimal models, etc.
  • You will be responsible for compiling relevant data from multiple internal databases, utilizing alternative data for validation, and clearly documenting your process.
  • Develop streamlined analytical solutions to support the modernization of the rate review process of the company.
  • Support sound actuarial analyses and findings.
  • Effectively combine multiple sources of information to yield thoughtful actuarial recommendation.
  • Work directly with internal partners to effectively support actuarial pricing implementation.
  • Responsible for managing multiple high visibility projects at once.
  • You will be expected to prioritize work and execute in the face of ambiguity.
QUALIFICATIONS
  • Bachelor’s or Master’s degree in a quantitative or scientific field.
  • 3-5 years of analytics experience required with progressively increasing levels of experience.
  • Extensive experience using SQL and a comprehensive understanding of relational databases.
  • Extensive knowledge of Python, R, or other statistical software.
  • Predictive modeling experience.
  • Experience with Tableau or other data visualization software.
  • Proficiency in Microsoft Excel.
  • Some experience using Visual Basic Application in Excel is a plus.
  • Property & Casualty insurance experience is a plus.
  • Ability to explain technical analysis to business partners and management, whether in person, in front of a conference room, or through a dashboard.
  • Must be results oriented, prioritize work to meet deadlines.
  • Ability to apply analytical and statistical concepts to develop business solutions.
  • Has the entrepreneurial spirit to be successful in a dynamic, changing environment and comfortable embracing new technologies.
  • Establish working relationships, foster teamwork and cooperation with others.