Analyst (Fintech)

Location: Remote within the United States

Base pay: $101,000–$151,000 per year for most U.S. states; $115,000–$165,000 per year in CA, WA, NY, NJ, and CT.

Company

Affirm is a fintech company providing transparent buy-now-pay-later and consumer lending products without hidden fees or compounding interest.

What you will do

• Analyze business, product, risk, fraud, growth, and portfolio performance across the customer and merchant lifecycle.
• Monitor performance metrics, user behavior, macroeconomic trends, risks, and anomalies.
• Write SQL and Python for scalable reporting and analytical workflows.
• Partner with Engineering on machine learning and risk model deployment.
• Collaborate with Product, Legal, and Compliance on consumer lending regulations, data models, and operational policies.
• Use AI tools such as Cursor, Claude Code, and copilots to accelerate data mining and routine analytical work while verifying outputs.

Requirements

• 1–3 years of experience in an analytically driven role.
• Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field.
• Working knowledge of SQL and Python or other scripting languages.
• Familiarity with data mining, data visualization, and foundational statistical modeling.
• Understanding of or strong interest in consumer lending regulations, fair lending principles, and applied machine learning.
• Strong communication and cross-functional collaboration skills.

Nice to have

• Internship or experience in consumer lending, fintech, or financial services.

Culture & Benefits

• Remote-first work model within the country of employment.
• Medical, dental, and vision coverage with premiums fully subsidized for employees and dependents.
• Monthly or flexible stipends for technology, food, lifestyle, wellness, and family-forming expenses.
• Competitive vacation and holiday schedules.
• Employee stock purchase plan and potential equity rewards.

Hiring process

• Shared interview process assessing core Risk & Analytics skills.
• Team placement is determined based on interests, experience, strengths, and business needs.
• Reasonable accommodations are available during the interview process.