Fraud Analyst

📋 Description

• Collaborate with Data Science, Product, Engineering, Support, and Human Data teams.

• Analyze data quality reports and verify fraud allegations.

• Serve as the escalation point for complex edge cases.

• Conduct regular audits of the participant network.

• Work closely with Data Science to evaluate flagged participants.

• Identify automation opportunities and propose product enhancements.

• Draft, improve, and document internal policies.

⛳️ Requirements

• Strong critical thinking skills.

• Proficiency in AI and data literacy.

• An investigative mindset.

• Comfortable navigating databases.

• Ability to convey intricate technical information.

• Familiarity with marketplace ecosystems.

🏝️ Benefits

• Competitive salary.

• Remote work opportunities within a mission-driven culture.

• Chance to engage in groundbreaking research.