Associate Actuary

  • 39355
  • Non-Life - Actuarial
  • |
  • Minnesota, United States
  • |
  • Mar 24, 2021
  • Conducts in-house financial loss and expense reserve calculations while collaborating with consulting actuaries in related analyses and presentations.
  • Conducts reviews of rating components for insurance rates, procedures and plans.
  • Monitors pricing including loss sensitive and dividend plans, making recommendations for changes when appropriate.
  • Analyzes reinsurance contracts and retention selections. Interfaces with reinsurance broker to understand and implement alternative structures/offerings where appropriate.
  • May participate in corporate predictive modeling and risk management initiatives.
  • Stays apprised, explores and implements evolving actuarial, statistical and coding methodologies, with discernment for implementation of internal models versus vendor solutions as appropriate.
  • Provides ad hoc data analyses as requested.
  • Maintains, enhances, and develops tools and methodologies to improve efficiencies and outcomes.
  • Collaborates with team members to create implementation processes, automated reporting and data visualization solutions.
  • Presents research findings to interested parties including internal stakeholders, vendors, clients and industry conferences.
  • Bachelor’s degree in Mathematics, Actuarial Science, Statistics, Risk Management, Economics, Data Science or related quantitative field.
  • 4 or more years of actuarial experience.
  • Property/casualty with workers’ compensation insurance experience preferred. Candidates with experience in health insurance will also be considered.
  • Associate of the Casualty Actuarial Society (ACAS) or Associate of the Society of Actuaries (ASA) designation.
  • Strong analytical, investigation and problem-solving abilities.
  • Proficient in Microsoft Excel, including experience working with formulas, calculations, charts and graphs. Visual Basic for Applications (VBA) or other programming experience preferred.
  • Ability to create unique solutions to complex problems.
  • Strong oral and written communication skills, including presentation abilities.
  • Resourceful with good organizational and multi-tasking skills and attention to detail.
  • Working knowledge of insurance principles with a strong understanding of underwriting principles and traditional actuarial reserving methodologies.
  • Strong customer service skills.
  • Sound judgment and decision making capabilities.
  • Some experience with statistical modeling preferred, including working knowledge of Python, SAS or R.