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
    # of Openings
    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


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