Analyst II, Full Stack

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November 12

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Affirm

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Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

📋 Description

• 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.

🎯 Requirements

• 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

• Type of employment: Contract of Employment • 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