Actuarial Data Analyst

  • 37666
  • Non-Life - Actuarial
  • |
  • California, United States
  • |
  • Jul 2, 2020
  • You will be responsible for fully understanding project needs, identifying and producing robust, intuitive solutions that enable decision makers.
  • Support sound actuarial analyses and findings.
  • Implementing novel solutions to analyzing competitive filings, engaging with data vendors, and building efficient workflows with a foundation on scalability and reproducibility.
  • 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 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.
  • Choose to actively pursue continued education development opportunities.
  • Responsible for managing multiple high visibility projects at once.
  • You will be expected to prioritize work and execute in the face of ambiguity.
  • Bachelor’s or Master’s degree in a quantitative or scientific field.
  • 2-4 years of analytics experience required.
  • Experience using SQL and a comprehensive understanding of relational databases.
  • Knowledge of Python, R, or other statistical software.
  • Proficiency in Microsoft Excel.
  • Predictive modeling experience is a plus.
  • Experience with Tableau or other data visualization software is a plus.
  • 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.