Analyst

Affirm

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$115,000–$165,000 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $131k
This role $140k
$91k most similar roles pay here $173k

This role pays more than 64% of similar roles. Most pay $111,655–$151,054 — the shaded band above. At the midpoint, this role pays about $140k versus about $131k for comparable roles.

Based on 239 similar postings.

Employer

About Affirm

Affirm is a buy-now, pay-later (BNPL) financial technology company that offers point-of-sale installment loans to consumers, allowing them to split purchases into fixed monthly payments with transparent terms. Industry: Financial Technology & Consumer Lending

Affirm currently has 60 open roles on FindRole.

Listed pay typically runs $195,000–$255,000 across 60 roles with salary data.

Most-posted roles

View all roles at Affirm

At a glance

TL;DR · Analyst

Analyst I joins the Risk & Analytics team to support business strategy by optimizing approval, conversion, losses, and profitability across the customer and merchant lifecycle. This role involves performing scoped analytical work to uncover insights for product, risk, or growth strategies while monitoring portfolio health and macroeconomic trends. The successful candidate will write clean SQL and Python code to build scalable reporting and partner with engineering teams to deploy machine learning and risk models. They will also collaborate with legal and compliance teams to translate lending regulations into data models. Key technical skills include proficiency in SQL, Python, data mining, visualization, and statistical modeling. The role addresses complex challenges in the consumer lending space, including fraud mitigation, merchant performance optimization, and building scalable data foundations for international expansion using modern AI tools like Cursor and Claude Code.

What you'll do

  • Use SQL and Python to build scalable reporting and support machine learning and risk models.
  • Analyze data to uncover insights that optimize product, risk, and growth strategies across different geographies.
  • Track performance metrics, user behavior, and macroeconomic trends to identify risks and anomalies.
  • Translate complex consumer lending regulations into foundational data models and operational policies.
  • Coordinate with cross-functional teams to ensure new products align with operational capabilities and risk appetite.
  • Integrate AI tools like Cursor and Claude Code to accelerate data mining and routine tasks.
  • Turn complex data and systems into clear, actionable signals for business decision-making.

What we're looking for

  • 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 and Python.
  • Familiarity with data mining, data visualization, and foundational statistical modeling.
  • Basic understanding of consumer lending regulations and fair lending principles.
  • Ability to integrate AI tools into daily workflows for data mining and routine tasks.
  • Exceptional communication skills and the ability to collaborate effectively with cross-functional peers.

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