Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We're looking for a passionate and analytically minded professional to join the Strategic Finance team. Strategic Finance is responsible for driving company strategy, empowering executive decision-making, and guiding the company toward achieving its goals. This high-impact, the highly visible role sits on the Revenue Finance team, a scrappy, tight-knit subteam with outsized cross-functional impact and ownership. We help set company-wide targets, provide forecasts and real-time analytics to executives and business leaders, and partner cross-functionally to evaluate strategic business and product decisions. The ideal candidate will not only have superb technical skills but also strong interpersonal skills and the ability to influence and present to all levels of the organization.

What You'll Do

• Become end-to-end financial expert on Affirm’s core lending business; understand historical company performance and predict future outcomes
• Design, develop, and deliver scalable data pipelines, dashboards, and analytics for cross-departmental consumption (i.e. Client Success, Credit, Merchant Pricing, and Capital Markets)
• Aid in the development of automated user, merchant, and financial forecasts 
• Evaluate, communicate, and recommend solutions to optimize growth in users, volume, revenue, and unit economics

What We Look For

• Passion and drive to disrupt the lending and financial industry for the better
  
• Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
  
• High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context
  
• 2+ years experience in analytically-driven roles (analytics, data science, consulting, finance, etc.)
  
• Strong working knowledge of SQL and Python; including:
  - Experience writing clean, computationally efficient code involving ETL processes and data manipulation via SQL and Python
  - Experience using standard Python analysis packages (e.g., SciPy, NumPy, Pandas)
  - Comfort with production level IDEs (e.g., PyCharm, Visual Studio), interactive IDEs (e.g., Databricks, Jupyter), and Version Control (e.g., git, specifically GitHub)
  
• Experience using DBT or similar data transformation tool strongly preferred
  
• Experience using Looker or similar BI tool strongly preferred
  
• Excel modeling experience a plus