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Mercor in Mumbai seeks a trusted analytics professional for a trust & safety role focused on fraud and abuse prevention on a high-traffic consumer platform. You will investigate ambiguous cases end-to-end, compile evidence, and present data-backed conclusions to protect user trust.
You will pull data from varied sources, design detection experiments, and document findings clearly for senior stakeholders. 4+ years of data analysis and strong SQL/Python skills are required.
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.
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
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
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
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