GreenSky Administrative Services LLC

  • Director Quantitative Analysis

    Job Location(s) US-GA-Atlanta
    Posted Date 2 months ago(12/9/2019 5:36 PM)
    Job ID
    2019-4136
    # 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 Analysts can contribute such as credit policy, valuations, collections analytics, operations analytics, fraud analytics, and sales and marketing analytics. We are a data driven company so there will be no shortage of interesting questions to answer!


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

     

    Location: Atlanta, GA

    Duties & Responsibilities

    • Conducts analyses in areas of consumer behavioral analytics and business forecasting and enhances the analytical forecasting framework
    • Provide valuable insights using data-driven analytics to help identify and resolve issues relating to risk and profitability
    • Autonomously solves defined business problems or analysis
    • Effectively communicate and defend analysis using written, oral, and visual media
    • Support the business and senior leadership by performing ad-hoc analysis and reporting
    • Partner with internal affiliates to further business understanding and facilitate inter-departmental insight
    • Monitor key business KPI’s and report on business objectives
    • Acquire expertise in products, processes and strategies
    • Be the trusted internal resource by demonstrating a deep understanding in your area of ownership

    Required Skills/Qualifications

    • 5-year experience in financial modeling and / or data analytics for consumer or wholesale products
    • Master's degree in Finance, Statistics, Mathematics or Computer Science related field
    • Exposure to at least one high-level programing language such as SAS, Python, R or SQL
    • Eager to learn about financial services and consumer lending
    • Ability to collaborate and work with other analysts on the team
    • Clear and concise communicator (both written and oral)
    • Detail oriented


    Preferred Skills & Qualifications:
    • 7-year experience in sophisticated financial modeling and / or data analytics for consumer or wholesale products
    • PhD’s degree in a technical field such as Computer Science, Engineering, Statistics, Econometrics, Math, Computational Finance, or Applied Physics.
    • Experience in VBA programming

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