Arch

  • AVP, Strategic Analytics Services

    Job Locations US-NJ-Jersey CIty
    Job ID
    2018-1731
    # of Openings
    1
    Category
    Data Analytics
  • Overview

    The Company

    Arch Capital Group Ltd. (NASDAQ: ACGL) is a Bermuda public limited liability company with approximately 3,000 employees and $11.3 billion in capital at December 30, 2017, and, through operations in Bermuda, the United States, Europe and Canada, writes specialty lines of property and casualty insurance and reinsurance, as well as mortgage insurance and reinsurance, on a worldwide basis. Our unique underwriting platform, successful management team and strong capital base has enabled us to establish a prominent presence in the global insurance and reinsurance markets. Arch Capital Services Inc. (“ACSI") provides services to the Arch entities within ACGL. 

    Responsibilities

    The Position

    Strategic Analytics is a new, growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. Advanced analytics techniques play a critical role in this mission. To be successful, we need to develop powerful models, tools and insights that give Arch a unique, competitive advantage.

     

    As Director, Strategic Analytics Services, you will play a crucial leadership role in developing the team’s analytics capability. You will work on high-profile advanced analytics projects that drive the company’s decision-making and strategy. You will work with or direct other data scientists to build best-in-class predictive models with creativity, statistical rigor and business sense. As a key member of the Strategic Analytics team, you will advance our advanced analytics capabilities and shape how Arch thinks about data and analytics.

     

    Job Responsibilities

    • Partner with business partners to understand the business problems they are trying to solve and help to develop the best-suited analytic solution
    • Collaborate in cross-functional teams and share ideas to solve complex business problems
    • Develop strong partnerships with peers across the organization to support project goals and boarder team needs
    • Build predictive models using advanced analytics techniques including GLM, text analytics, and machine learning
    • Create powerful insights and tools using a variety of analytical techniques and technologies
    • Discover, explore and analyze internal and external datasets for the purpose of developing advanced analytics models
    • Help establish best practices and repeatable processes for the Strategic Analytics team
    • Provide thought leadership on new, innovative techniques, approaches and software
    • Guide, support, mentor and develop the growing team of predictive modelers and data scientists

     

    Qualifications

    Desired Skills

    • Excellent verbal and written communications skills; ability to convey complex concepts to people across the organization
    • Ability to design, build and implement new modeling approaches
    • Exceptional teamwork skills required to play a key role in cross-functional teams and the ability to collaborate and build trusting relationships with business partners
    • Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
    • Task management, time management, project management critical thinking and creative problem-solving skills
    • Detailed understanding of statistical theory, predictive modeling, data mining and other advanced analytical techniques

    Required Education/Experience 

    • Master’s Degree or PhD in Statistics, Mathematics, Engineering or similar quantitative fields; or significant experience in advanced Data Analytics
    • 8+ years’ experience in advanced analytics role
    • 5+ years in p/c insurance, preferably commercial lines
    • Experience delivering significant business value from small or non-standard data sets
    • Proven hands-on experience developing generalized linear models in a commercial lines setting including loss ratio, frequency/severity, pure premium, claims modeling
    • Familiarity with a variety of other advanced analytics techniques is preferable such as logistic regression, decision trees, clustering, text mining, random forests and survival analysis
    • Excellent R SQL and skills required
    • Text Analytics and Python development skills as well as knowledge of visualization tools such as QlikView, Tableau and PowerBI are a plus

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