
Analyst II, Full Stack
Overview
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.
Job Description
We’re looking for a data-driven and forward-thinking professional to join Affirm’s Strategic Finance team. This highly impactful and visible role sits within the Data and Forecasting team—a small but influential team responsible for shaping company-wide targets, developing predictive models, and delivering real-time analytics to senior leadership.
Responsibilities
- - Become an end-to-end expert in GMV forecasting across Affirm''s markets and products; analyze historical performance and predict future outcomes with high accuracy.
- - Design, develop, and deliver scalable forecasting pipelines, dashboards, and analytics for cross-departmental use (e.g., Client Success, Credit, Merchant Pricing, and Growth Analytics).
- - Support the Finance team in developing automated GMV and transaction forecasts, including merchant-level projections, and other key financial metrics.
- - Leverage Python, SQL, and machine learning to clean, manipulate, and backtest data, ensuring accurate and reliable forecasting models.
Required Skills
- - Strong sense of ownership, intellectual curiosity, and the ability to think creatively and critically in a fast-paced, dynamic, and often ambiguous environment.
- - High attention to detail while maintaining the ability to see the big picture and evaluate analyses in the context of GMV growth, user behavior, and business strategy.
- - 2+ years of experience in analytically-driven roles (analytics, data science, finance, consulting, etc.), preferably involving forecasting, revenue modeling, or transaction data analysis.
- - Strong working knowledge of SQL and Python, including: Writing clean, computationally efficient code for forecasting workflows.
- - Using standard Python analysis packages (e.g., SciPy, NumPy, Pandas) for data cleaning, manipulation, and model development.
- - Comfortable with production IDEs (e.g., PyCharm, Visual Studio), interactive IDEs (e.g., Databricks, Jupyter), and version control (e.g., git / GitHub).
- - Familiarity with ML concepts, statistics, and time series analysis, including backtesting forecasting models to ensure accuracy and reliability.
- - Experience with DBT or similar data transformation tools is strongly preferred.
- - Experience using BI tools such as Sigma or similar is strongly preferred for dashboarding and reporting GMV forecasts.
Benefits
- - Flexible Spending Wallets for tech, food and lifestyle
- - Away Days - wellness days to take off work and recharge
- - Learning & Development programs
- - Parental benefits
- - Employee Resource & Community Groups
- - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
About the company
We started Affirm because credit cards aren’t working. They lure us in with perks, but end up costing a lot: The average U.S. household has $6,000 in credit card debt. With Affirm, you’ll never owe more than you agree to up front. Instead, you’ll always get a flexible, transparent, and convenient way to pay over time.
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