Associate of Quantitative Analysis -- Atlanta -- Platform Solutions (GreenSky)

Job Description

Platform Solutions Across Platform Solutions (PS), we power our clients to serve and create better loyalty with their own clients and customers by delivering agile and modern cloud-based, developer-centric financial solutions. PS is comprised of four main businesses, underpinned by key horizontal functions across engineering, operations and risk management:

• Transaction Banking, a cash management and payments platform for clients building a corporate treasury system
• Enterprise Partnerships, consumer financial products that companies embed directly within their ecosystems to better serve their end customers
• Merchant Point-of-Sale Lending, a platform that provides custom credit financing for home improvement merchants to offer directly to their customers
• ETF Accelerator, a platform for clients to launch, list and manage exchange-traded funds

Join us on our journey to deliver financial products and platforms that prioritize the customer and developer experience.

Position: Associate of Quantitative Analysis

Location: Atlanta, GA

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 corporate forecasting team.

Potential 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 statistical or machine learning 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 Experience, Skills & Qualifications:

• Master's degree in Finance, Statistics, Mathematics or Computer Science related field
• Exposure to high-level programing language such as Python, and 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:

• Two-to-three-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.

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