Fraud Analyst - Content & Reviews Abuse

About the Role

You'll join a trust & safety function protecting a high-traffic, consumer-facing platform from fraud and abuse. Partnering with product, engineering, and operations stakeholders, you'll investigate ambiguous, evolving abuse patterns — applying investigative rigor and creative analysis to get to root cause. Over time, you'll build specialized subject-matter expertise across the many forms this abuse can take.

We're looking for candidates with a track record in fraud detection, investigation, and risk assessment — reviewing transactions, spotting anomalies in data, and evaluating exposure. This background could come from insurance fraud, forensic accounting, banking/financial crimes, or similar. Certifications such as CFE or ACFE are a nice-to-have, not required.

What You'll Do

• Investigate ambiguous cases end-to-end, turning findings into data-backed conclusions that keep user trust as the top priority
• Pull together varied data sources and signals to trace deceptive or manipulative activity, and help design new detection experiments
• Document findings clearly — a well-reasoned narrative backed by concrete evidence — so others can act on your conclusions Work Setup
• Full-time, onsite in India
• Must be available to work India Standard Time hours
• Requires a private, secure workspace (no shared or public settings), given the sensitivity of the content involved
• Prior experience working on a Mercor project is mandatory Minimum Qualifications
• Bachelor's degree in a technical discipline, or equivalent hands-on experience
• 4+ years analyzing data — spotting trends, building summary stats, turning raw data into decisions
• 4+ years working end-to-end on ambiguous, open-ended analytical projects
• Comfortable with SQL and Python for analysis; strong problem-solving instincts and efficient execution
• Strong written/verbal communication, including translating dense policy concepts into plain language
• Track record presenting analytical findings to senior stakeholders
• Able to produce thorough case write-ups and detailed observation notes Preferred Qualifications
• Familiarity with how fraud/abuse evolves on online platforms over time
• Background in program or policy management, customer/merchant experience, or business strategy
• Exposure to content moderation, policy enforcement, customer support, or policy design
• Sharp problem-solving and critical-thinking instincts with strong attention to detail
• Some familiarity with AI/ML or generative AI concepts
• CFE/ACFE certification a plus