115K–115K USD / year

Analyst, Early Career (Full Stack)

DataHybrid — New York, New York, United States; San Francisco, California, United States
Published on 2026-10-21
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

An early-career analyst role in Affirm’s Risk & Analytics organization, using data to evaluate business performance and inform product, risk, and growth decisions. Analysts use SQL and Python for analysis, reporting, and monitoring, with team placement determined based on candidate strengths, interests, and business needs.

About the company

Affirm offers buy now, pay later financing that lets consumers split purchases into transparent installment payments at checkout. It partners with merchants to provide flexible credit options without late fees.

The team

Risk & Analytics, with possible placement in Point of Sale, Direct to Consumer / Card, Fraud, Core Analytics, Servicing and Payments, or International Expansion.

Stack

SQLPythonCursorClaude Code

What you'll do

  • Analyze data to identify opportunities and support product, risk, and growth strategies.
  • Monitor portfolio metrics, user behavior, and economic trends; flag risks and anomalies.
  • Write SQL and Python for reporting and support machine-learning and risk-model deployment.
  • Collaborate with Product, Legal, Compliance, and Engineering on policies, data models, and launches.
  • Use AI tools to accelerate routine analytical work and verify their outputs.

What we're looking for

  • Complete the most recent full-time degree program by August 2027 or earlier.
  • Working knowledge of SQL, Python, or another scripting language.
  • Familiarity with data mining, visualization, and foundational statistical modeling.
  • Strong communication and collaboration skills, with humility and a willingness to learn.

Nice to have

  • Degree in Data Science, Computer Science, Engineering, Economics, Statistics, Math, or a related quantitative field.
  • Internship or experience in consumer lending, fintech, or financial services.
  • Interest in consumer lending regulations, fair lending, and applying machine learning to business problems.

Benefits

  • 100% subsidized medical, dental, and vision coverage for employees and dependents.
  • Monthly technology, health, and wellness spending stipends.
  • Flexible time off and generous holiday calendars.
  • Employee stock purchase plan with a discount.
View original job post