Fraud Enforcement Manager, Account Integrity & ...
@ Etsy

Brooklyn, NY
$95,000
On Site
Full Time
Posted 21 days ago

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About Etsy

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Join a diverse team committed to keeping commerce human.

Role Overview

As the Fraud Enforcement Manager, Account Integrity & Security at Etsy, you will be a key contributor to our fraud prevention efforts. You will proactively detect account takeover (ATO) and fraudulent behavior, conduct thorough investigations, and collaborate across Customer Service, Product, Engineering, Data Science, and Operations to ensure a safe marketplace.

Key Responsibilities

  • Conduct in-depth account reviews and investigations.
  • Analyze data trends using SQL and analytics tools.
  • Develop and improve QA frameworks and fraud detection models.
  • Support ML Ops and new product launches as a subject matter expert.
  • Document fraud patterns and share knowledge with the team.

Team and Work Environment

You will work within a dedicated Account Security Enforcement team under the Trust & Safety umbrella. Collaboration, meticulous analysis, and continuous improvement are key elements of this role.

Key Skills/Competency

  • Fraud Prevention
  • Account Security
  • Data Analysis
  • SQL
  • Looker/Tableau
  • Investigation
  • QA
  • Machine Learning Ops
  • Documentation
  • Collaboration

How to Get Hired at Etsy

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experience in fraud prevention and analytics.
  • Research Etsy culture: Understand their marketplace and diverse environment.
  • Highlight technical skills: Emphasize SQL, Looker/Tableau, and data analysis strengths.
  • Prepare for behavioral questions: Use examples of past fraud investigation successes.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques and dashboard creation.
Practice data analytics using Looker or Tableau.
Study fraud detection model basics and ML concepts.
Familiarize with QA frameworks and operational metrics.

Behavioral Questions

Describe a challenging fraud investigation experience.
Explain how you handle cross-team conflicts.
Discuss an instance of process improvement in your work.
Share an example of proactive problem-solving in fraud cases.

Frequently Asked Questions