Fraud Analyst – Content & Reviews Abuse

Official role description

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