Analyst I, Risk & Analytics (Remote)

Affirm; Minneapolis (MN); On-site; USD 101,000 - 151,000; Full time

Benefits offered by this job

Health coverage

Flexible Spending Wallets

Time off — vacation/holidays

ESPP

Job summary

Affirm seeks an Analyst I to learn consumer lending fundamentals while performing scoped analytics. You will work under senior analysts to optimize strategies and monitor portfolio performance with advanced data tools.

A strong technical foundation and curiosity about AI tooling will help tackle market changes efficiently. You will derive actionable insights, track trends, and collaborate across product, risk, and compliance to support responsible growth and scalable data solutions in a

Qualifications

• 1–3 years in an analytically-driven role or internships in fintech/financial services.
• Solid SQL, Python, and data mining fundamentals.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Derive insights to optimize product, risk, or growth strategies across geographies.
• Monitor portfolio health and flag risks to senior team members.
• Write clean SQL and Python; partner with Engineering on ML and risk models.
• Collaborate with Product, Legal, and Compliance to translate regulations into data models.
• Support launches and market entries with operational risk considerations.
• Integrate AI tools to accelerate data mining while verifying outputs.

Skills

SQL

Python

Data analysis

Education

Bachelor's degree in Data Science, Computer Science, Engineering, Economics, or related quantitative field

Job description

Affirm seeks an Analyst I to learn consumer lending fundamentals while performing scoped analytics. You will work under senior analysts to optimize strategies and monitor portfolio performance with advanced data tools.

A strong technical foundation and curiosity about AI tooling will help tackle market changes efficiently. You will derive actionable insights, track trends, and collaborate across product, risk, and compliance to support responsible growth and scalable data solutions in a