Manager, Customer Analytics - Atlanta, United States - GreenSky®

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    Description

    We are hiring a full-time Manager, Customer Analytics to join our team This is a hybrid opportunity. 2 days in our Atlanta office and 3 days remote.

    The Manager, Customer Analytics position is within the Risk & Analytics function for GreenSky verticals and products, enabling resilient business growth through Risk Mitigation, Product Pricing optimization and improving Customer Experience.

    The Risk aspect of this function focuses on Second Line Risk Management activities such as Loss Forecasting, Risk Oversight and Governance. The Analytics aspect focuses on Pricing Analytics, Credit Risk Analytics and Customer Experience Analytics.

    Who we are:

    GreenSky is one of the fastest growing financial technology companies in America. We make it easy for businesses of all sizes to offer credit to their customers with a fast and paperless solution. With billions of dollars in loans and hundreds of thousands of satisfied customers, we are quickly changing the consumer credit marketplace.

    We have developed a highly scalable loan origination and servicing platform and unique loan origination tools to deliver a differentiated level of service to our multiple stakeholders, including bank partners, merchant and retailer channel partners, consumers, and borrowers.

    Leveraging proprietary mobile technology, we are currently experiencing exceptional growth in both accounts and profitability. We have a great team, are growing quickly, and are backed by some of the leading investors in the world. Our corporate headquarters is in the expanding fintech hub of Atlanta.

    Duties & Responsibilities:

    • Monitor portfolio credit performance against loss forecast expectations, analyze and communicate the causes of deviations to cross functional business partners and management
    • Monitor emerging credit performance trends and perform root cause analysis of changing trends to identify performance drivers
    • Monitor macroeconomic trends and assess the correlation with the portfolio credit performance.
    • Enhance the loss forecasting process by incorporating learnings from emerging trends and incorporate macroeconomic
    • Conduct customer analytics such as Customer Journey Analysis, Digital Analysis, Pricing Analytics etc. Communicate findings with stakeholders and collaborate to improve Customer Experience
    • Develop and train junior credit analysts on the team

    Required Skills & Qualifications:

    • 5-10 years of experience at a financial services company in an analytical/quantitative role within a lending business
    • Ability to handle large datasets using SQL, Python or another similar programming language
    • Working knowledge of Tableau and advanced Microsoft Excel capabilities
    • Bachelor's degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Operations Research, Engineering, Computer Science etc
    • Experience with cross-team collaboration
    • Strong problem solving, decision making, and analytical abilities
    • Passionate about using data and analytics to solve problems
    • Skilled communicator with ability to influence others
    • Flexibility, perseverance, and ability to thrive in a rapidly changing, fast-paced, and demanding environment

    Preferred Qualifications:

    • Advanced degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Operations Research, Engineering, Computer Science etc.
    • Experience in credit risk management developing credit risk strategies or loss forecasting

    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. At GreenSky, we promote an environment that thrives on innovation. To deliver effective solutions that meet customer challenges, GreenSky employs an open, standards-based approach to business and service-oriented innovation.