• Chief Actuary

    Job Locations US-VA-Manassas
    ID
    2018-1438
    # of Openings
    1
    Department
    Actuarial
  • Overview

    Lead a team at the core of our pricing, valuation, reserving and modeling.

     

    Who we are...

    BerkleyNet is an innovative and leading provider of workers compensation insurance and services.  We were started in 2006 with the goal of delivering an easier solution for customers - driven by speed and simplicity.  Since that time, we've developed a national presence and are recognized for our "Ridiculously Fast, Amazingly Easy" approach to workers compensation.  If you are looking to join a fast-paced, energetic and passionate team with room for professional growth and development - BerkleyNet may be a great fit for you.

     

    The BerkleyNet Way is…

    • Fearlessly explores new paths
    • Generates solutions and positive energy
    • Be a community builder
    • Be an original
    • Embrace ownership and adaptability
    • Responsiveness is our reputation
    • Communicate openly and share knowledge
    • Integrity is non-negotiable

     

    Benefits

    BerkleyNet employees enjoy a package of benefits that include:

                Comprehensive Actuarial exam program

                Insurance Health, Dental, Vision, Life & Disability

                Health Savings Account

                401k, Roth 401k & Company Profit Sharing Plan

                Employee Stock Purchase Plan

                Flex-Spending Account Participation

                Annual Vacation Accrual

                Casual Work Environment

                Drug-Free Workplace

    Responsibilities

    This position has a broad range of responsibilities including:

     

    • Conducting reserve reviews
    • Rate filing support and predictive modeling
    • Managing and mentoring the actuarial team

    Qualifications

    Requirements

    • ACAS or FCAS designation required
    • Candidates must possess a Bachelor's degree
    • 5 or more years of Property/Casualty actuarial experience
    • Experience with data analytics and predictive modeling
    • Must be proficient with Microsoft Office Products

     

     

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