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