Fraud Analyst – Content & Reviews Abuse

Dorado; India; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Dorado is seeking an experienced Trust & Safety Analyst to join a high-traffic consumer platform. You will investigate fraud and abuse, synthesize data across sources, and derive evidence-based conclusions that protect user trust.

The role emphasizes automating detection, building expertise across abuse forms, and communicating findings clearly to stakeholders. We value candidates with track records in fraud detection, risk assessment, and end-to-end analytics, including experience with

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

Responsibilities

• 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

Skills

Data analysis

SQL

Python

Communication

Stakeholder presentation

Education

Bachelor's degree in a technical discipline

Tools

SQL

Python

Job 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