Analyst
$115,000–$165,000 year
RemoteCalifornia, United States or New York, United States
Job Summary
Derive insights to optimize product, risk, or growth strategies across geographies by leveraging data analytics. Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends to flag risks and anomalies. Execute technical work by writing clean SQL and Python to build scalable reporting and support machine learning model deployment. Collaborate with Product, Legal, and Compliance to translate evolving consumer lending regulations into foundational data models and operational policies. Support cross-functional discussions to ensure new product launches and market entries align with operational capabilities and risk appetite. Integrate AI tools into daily workflows to accelerate data mining while verifying outputs. This Analyst I role sits within the Risk & Analytics team, which partners with Machine Learning, Product, and Engineering to grow Affirm responsibly. Candidates will be placed into one of several teams including Point of Sale, Direct to Consumer, Fraud, Core Analytics, Servicing, or International Expansion based on their interests and strengths.
Required Qualifications
- 1–3 years of experience in an analytically driven role
- Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field
- Solid working knowledge of SQL, Python, or other scripting languages
- Familiarity with data mining, data visualization, and foundational statistical modeling
- Basic understanding of, or deep curiosity about, consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems
- Exceptional communication skills, humility, and the ability to collaborate effectively with cross-functional peers
- #LI-Remote
- Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office
Desired Qualifications
- Relevant internships or prior experience in consumer lending, fintech, or the broader financial services industry are highly valued
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