GreenSky Administrative Services LLC

  • Data Scientist

    Job Location(s) US-GA-Atlanta
    Posted Date 3 months ago(11/12/2019 1:31 PM)
    Job ID
    2019-4096
    # of Openings
    1
    Category
    Credit Strategy
  • Overview

    GreenSky is a fast paced, innovative and growing disruptor in the Financial Technology space. You will be part of a team that leverages analytics to drive growth and innovation. We are looking for candidates who have strong quantitative skills, intellectual curiosity and a desire to learn. We have different roles where you can contribute such as credit policy, valuations, collections analytics, operations analytics, fraud analytics, sales and marketing analytics.

     

    Organizational: This position is a member of the Credit Strategy team

    Duties & Responsibilities

    • Perform EDA and feature engineering for model creation and performance improvement
    • Design, build, deploy, and support scalable statistical and machine learning models
    • Analyze and model structured and unstructured data
    • Autonomously identify business risks and opportunities and create strategic or tactical recommendations using data-driven analysis
    • Effectively communicate and defend analysis using written, oral, and visual media
    • Provide quantitative and qualitative analytical support for asset performance, suspicious activity, risk exposure, and growth initiatives
    Partner with internal affiliates to further business understanding and facilitate inter-departmental insight
    • Develop and manage KPIs and present channel/vertical/LOB performance to leadership
    • Acquire expertise in products, processes and strategies
    • Provide valuable insights using data-driven analytics to help identify and resolve issues relating to risk and profitability
    • Be the trusted internal resource by demonstrating a deep understanding in your area of ownership
    • Support the business and senior leadership by performing ad-hoc analysis and reporting

    Required Skills/Qualifications

    • 3+ years professional work experience as data scientist or statistician
    • BS/Master’s degree
    • Expertise in machine learning algorithms (Random Forests, GBM, Regression, Markov Models, Logistic Regression, K-Means, SMVs, Time Series, LSTM, etc.)
    • Experience with statistical analyses
    • Proven experience in credit risk analysis
    • Expertise with scripting languages and packages (Python, R, SAS, VBA, Pearl, etc.)
    • Experience working with database systems (SQL, NoSQL, MongoDB, etc.)
    • Experience building data pipelines
    • Aptitude to clearly explain difficult techniques and procedures to senior management
    • Flexibility and ability to thrive in a rapidly-changing, fast-paced environment
    • Excellent written, verbal, and presentation skills
    • Demonstrated ability to think creatively and critically
    • Strong analytical, problem-solving, and decision-making skills
    • Persistent, confident, and inquisitive personality
    • Skilled communicator with ability to influence others

     

    Preferred Skills & Qualifications
    • MS/Ph.D. preferred
    • Ability to understand risk implications of financial products

    Options

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed