GreenSky Administrative Services LLC

  • Quantitative Analyst

    Job Location(s) US-GA-Atlanta
    Posted Date 1 week ago(8/12/2019 6:04 PM)
    Job ID
    # of Openings
    Credit Operations
  • Overview

    Position: Quantitative Analyst


    Overview:We are looking for a talented Quantitative Analyst to join our team and support Credit Risk for our expanding portfolios. The candidate will use a combination of intellect, intuition, curiosity, data mining, programming, statistics and analytics to investigate a wide array of business, finance and credit topics, translating results into actionable recommendations to guide strategic decisions.


    Duties & Responsibilities

    • Develop an understanding of the credit capabilities and business process, leverage this knowledge to perform business analytics and develop recommendations for credit strategy and business practice improvement.
    • Perform data mining, programming, and statistical tools to support ad hoc and ongoing analytics to support the Credit Risk function.
    • Create and maintain SQL and Excel reports to track progress of portfolio and credit strategy performance.
    • Design forecasting models to predict economic and account performance and profitability used to guide strategic pricing decisions.
    • Prepare written summaries and present findings to Executives and Senior Staff

    Required Skills/Qualifications

    • Degree in Mathematics, Finance, Economics, Computer Science, Engineering or Business
    • Exposure to SAS, SQL, Python, R/Cart, and/or other Statistical and/or data mining software
    • Proficiency with Excel & Powerpoint
    • Attention to detail, strong communication skills, self-guiding and motivated

    Preferred Skills

    • Advanced Degree in Decision Sciences, Mathematics, Economics or Finance with ample exposure to statistical concepts
    • Past work experience with Analytics in Finance, data mining, and VBA or other programming languages


    GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.


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