Analyst II, Fraud Analytics
@ Affirm

San Jose, CA
$150,000
On Site
Full Time
Posted 10 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @affirm.com
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Job Details

Overview

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest.

What You’ll Do

As an Analyst II, Fraud Analytics at Affirm, you will drive improvements across the Trust and Safety online decisioning strategy and user journeys. You will explore data to uncover product optimization opportunities, drive analytics for online experiments, and translate trends into actionable business recommendations.

  • Explore data to accelerate product development and improve products in Trust and Safety.
  • Translate analysis into recommendations for fraud and identity conversion improvements.
  • Develop scalable frameworks for proprietary fraud machine learning models.
  • Collaborate with data engineering to build and maintain core analytical data pipelines.
  • Partner with Product, Engineering, and Machine Learning teams to drive user acquisition and retention.

What We Look For

We seek candidates with 2-4 years of experience in customer risk management, proficient in SQL and Python (or R), and a strong ability to communicate insights clearly. A quantitative degree and knowledge of payment processing and risk trends are highly valued.

Benefits

Affirm offers a competitive benefits package that includes fully subsidized health care, generous spending stipends, competitive time off, and an employee stock purchase plan. Affirm is a remote-first company with occasional office collaboration as needed.

Key skills/competency

  • SQL
  • Python
  • Fraud Strategy
  • Analytics
  • Risk Management
  • Data Pipelines
  • Machine Learning
  • Product Strategy
  • Communication
  • Collaboration

How to Get Hired at Affirm

🎯 Tips for Getting Hired

  • Customize your resume: Highlight SQL and fraud analytics experience.
  • Showcase relevant projects: Include data-driven fraud strategy examples.
  • Network on LinkedIn: Connect with Affirm employees.
  • Prepare for technical interviews: Practice SQL and Python challenges.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries on large datasets
Build Python scripts for data cleaning
Review basics of machine learning models
Study fraud case analyses and statistical methods

Behavioral Questions

Describe a time for cross-team collaboration
Explain handling multiple priorities under pressure
Discuss clear communication with non-technical teams
Share experience with innovative problem solving

Frequently Asked Questions