Fraud Analyst - Content & Reviews Abuse

Fraud Analyst – Content & Reviews Abuse

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Fraud Analyst – Content & Reviews Abuse based in India.

This is a contract opportunity for an analytical professional focused on detecting and investigating deceptive, manipulative, and abusive activity across digital platforms. You will investigate ambiguous cases from end to end, combining multiple data sources and signals to uncover patterns and establish evidence-based conclusions. The role blends fraud analysis, data investigation, user trust, and strategic problem-solving in a fast-evolving environment. You will translate complex findings into clear narratives and recommendations that help teams make confident decisions. Working closely with Product, Engineering, and Operations, you will help identify emerging abuse patterns and develop new approaches to detection. The position offers the opportunity to build deep subject-matter expertise across different forms of content and reviews abuse. It is particularly suited to an investigator and data analyst who thrives on open-ended problems, ambiguity, and turning evidence into meaningful action.

Accountabilities

• Investigate ambiguous and potentially fraudulent or abusive cases end to end, using structured analytical approaches to determine the underlying activity.
• Analyze diverse data sources, behavioral signals, and available evidence to identify deceptive, manipulative, or coordinated activity.
• Develop data-backed conclusions that prioritize user trust, platform integrity, and effective risk management.
• Identify emerging trends and evolving abuse patterns and contribute to the development of new detection strategies and analytical experiments.
• Design or support detection experiments that help uncover new forms of fraud, manipulation, content abuse, and review abuse.
• Document investigations thoroughly through clear case write-ups, observation notes, evidence summaries, and reasoned conclusions.
• Translate complex analytical findings into actionable recommendations that enable stakeholders to make informed decisions.
• Collaborate with Product, Engineering, Operations, and other cross-functional teams to address evolving abuse patterns and improve detection capabilities.
• Present analytical findings and recommendations clearly to senior stakeholders and other decision-makers.
• Continuously develop specialized expertise across different types of online abuse, fraud patterns, and platform integrity challenges.
• Contribute to improving analytical processes, investigation methodologies, and detection frameworks over time.

Requirements

• Bachelor's degree in a technical discipline or equivalent practical, hands-on experience.
• 4+ years of professional experience analyzing data, identifying trends, and translating raw information into informed business or operational decisions.
• 4+ years of experience working on ambiguous, open-ended analytical or investigative projects.
• Strong analytical and critical-thinking skills, with the ability to work through incomplete or conflicting information.
• Practical proficiency with SQL and Python for data analysis and investigation.
• Strong written and verbal communication skills, with the ability to explain complex findings clearly and persuasively.
• Demonstrated experience presenting analytical findings and recommendations to senior stakeholders.
• Ability to produce thorough investigation reports, detailed case write-ups, and well-structured observation notes supported by concrete evidence.
• Strong attention to detail and the ability to distinguish meaningful signals from large or complex datasets.
• Ability to work independently while collaborating effectively with Product, Engineering, Operations, and other stakeholders.
• Familiarity with how fraud, abuse, and manipulation evolve across online platforms is preferred.
• Experience in program or policy management, customer or merchant experience, business strategy, content moderation, policy enforcement, customer support, or policy design is a plus.
• Some familiarity with AI/ML concepts or generative AI technologies is desirable.
• Certified Fraud Examiner (CFE) or ACFE-related certification is a plus.
• Comfortable working in a fast-changing environment where investigative priorities and abuse patterns can evolve quickly.

Benefits

• Competitive contract compensation of $35–$55 per hour.
• Fully remote opportunity available to professionals based in India.
• Opportunity to work on complex fraud, content, and reviews abuse challenges in a digital platform environment.
• Flexible, analytical work involving a combination of investigation, data analysis, and strategic problem-solving.
• Opportunity to work with Product, Engineering, and Operations teams on real-world abuse detection challenges.
• Exposure to evolving fraud patterns, online platform risks, and emerging AI/ML applications.
• Opportunity to develop specialized expertise in fraud analysis, user trust, content abuse, and platform integrity.
• High-impact work where analytical findings directly support better decisions and stronger user protection.
• Contract-based engagement suited to experienced analysts seeking flexible and intellectually challenging project work.