CIT Group Inc.

  • AVP, Analytics and Data Science

    Location US-CA-Pasadena
    Job ID
    30978
    # Positions
    1
    Job Family
    Branch Delivery - Banking Services
    Type
    Full-Time
  • Overview

    Founded in 1908, CIT (NYSE: CIT) is a financial holding company with approximately $50 billion in assets as of Dec. 31, 2017. Its principal bank subsidiary, CIT Bank, N.A., (Member FDIC, Equal Housing Lender) has approximately $30 billion of deposits and more than $40 billion of assets. CIT provides financing, leasing, and advisory services principally to middle-market companies and small businesses across a wide variety of industries. It also offers products and services to consumers through its Internet bank franchise and a network of retail branches in Southern California, operating as OneWest Bank, a division of CIT Bank, N.A. For more information, visit cit.com.

    Responsibilities

    • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
    • Develop and execute upon data A/B testing framework and test model quality.
    • Coordinate with different functional teams to implement models and monitor outcomes.
    • Create and use advanced machine learning algorithms and statistics: regression, distributions, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
    • Work to analyze data from a wide variety of 3rd party data providers: Google Analytics, Adwords, Facebook Insights, etc.
    • Use distributed data/computing tools to achieve business results: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
    • Work with cloud and distributed computing architectures, and data providers, e.g S3, Spark, DigitalOcean, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL

    Qualifications

    • 5+ years’ experience in analytics and data science
    • Master’s Degree in Computer Science, Statistics, Applied Math or related field
    • 7+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics
    • Extensive background in data mining and statistical analysis
    • Able to understand various data structures and common methods in data transformation
    • Excellent pattern recognition and predictive modeling skills
    • Experience with programming languages such as Java/Python an asset
    • Preferable experience working with Financial Firms or Ad Agencies

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