• Quantitative Analyst

    Job Locations US-VA-Manassas
    ID
    2017-1378
    # of Openings
    1
    Department
    Actuarial
  • Overview

    Problem solver with a passion for data science.

     

    Be part of our analytics team focused on data infrastructure and model building.

     

    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

    Responsibilities

    Duties & Responsibilities

     

    • Research both existing and potential data sources
    • Data organization and infrastructure – navigate and manipulate complex data structures
    • Collaborate with other departments to plan for the best deliverable
    • Support model building – create variables; build, validate, implement, and monitor models
    • Communicate to audiences of varying technical background
    • Perform ad hoc analyses as needed

    Qualifications

    Requirements

     

    • Must possess a Bachelor’s Degree in a related field
    • 0-5 years of experience utilizing data and machine learning
    • Must be proficient in R or Python

     

    Preferred

     

    • Experience/familiarity with SQL, Hadoop, Spark, Git
    • Familiarity with leading packages (e.g. tidyverse, Shiny, Leaflet, numPy, pandas, NLTK)
    • Master’s Degree preferred

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