Fraud Analyst — Trust & Safety Investigations (Train AI Models Part Time!)

**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