Fraud Analyst for Content and Reviews Abuse
$15–$25/hr
Hybrid or location-restricted — review detailsHyderabad OnsiteHyderabad OnsiteContracttechnology
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Role Overview
Protect a high-traffic, consumer-facing platform by investigating content and reviews abuse, identifying evolving fraud patterns, and turning ambiguous signals into concrete, data-backed conclusions. You will partner with product, engineering, and operations stakeholders to trace deceptive behavior, recommend detection experiments, and build subject-matter expertise across varied forms of abuse.
Key Responsibilities- Conduct end-to-end investigations of ambiguous abuse cases, producing data-backed conclusions that prioritize user trust.
- Correlate multiple data sources and signals to map deceptive or manipulative activity and support the design of new detection experiments.
- Produce clear, well-reasoned documentation and case write-ups, with concrete evidence and actionable recommendations for cross-functional teams.
- Present analytical findings to senior stakeholders and translate complex policy concepts into plain language for operational teams.
- Bachelor''s degree in a technical discipline, or equivalent hands-on experience.
- Minimum 4 years analyzing data, spotting trends, and converting raw data into actionable decisions.
- Minimum 4 years executing ambiguous, open-ended analytical projects from start to finish.
- Proficient in SQL and Python for analysis, with strong problem-solving instincts and efficient execution.
- Excellent written and verbal communication skills, including the ability to produce thorough case write-ups and detailed observation notes.
- Proven experience presenting analytical conclusions to senior stakeholders.
- Familiarity with how fraud and abuse evolve on online platforms.
- Background in program or policy management, customer or merchant experience, or business strategy.
- Experience with content moderation, policy enforcement, customer support, or policy design.
- Some familiarity with AI, machine learning, or generative AI concepts.
- Certification such as CFE or ACFE is a plus.
- Position type: hourly, full-time.
- Work location: onsite in Hyderabad, India.
- Schedule: must be available to work India Standard Time hours.
- Workspace requirement: private, secure workspace only, no shared or public settings due to sensitive content.
- Prior experience on the specific third-party/contract project that this role supports is mandatory.
- Hourly rate: 15 - 25 hourly.
- Must be located in Hyderabad and eligible to work in India for an onsite, full-time hourly role.
- Must have prior experience working on the same third-party/contract project that this role relates to, as noted above.