Onsite | Fraud & Platform Abuse Investigation Analyst — $30–$50/hour

We are sharing a specialised full-time consulting opportunity for experienced fraud and risk professionals with strong backgrounds in investigation, data analysis, anomaly detection, and trust and safety operations.

This onsite role focuses on protecting a high-traffic consumer platform from fraudulent, deceptive, and manipulative activity involving content and reviews. Selected professionals will investigate complex abuse patterns, combine evidence from multiple data sources, identify root causes, and present well-supported findings that help product, engineering, policy, and operations teams strengthen detection and enforcement systems.

Key Responsibilities

Fraud & Abuse Investigations

• Investigate ambiguous fraud and platform-abuse cases from initial detection through final resolution
• Analyse suspicious content, reviews, transactions, behavioural signals, and account activity
• Identify emerging manipulation techniques, coordinated activity, and evolving abuse patterns
• Develop evidence-based conclusions that prioritise platform integrity and user trust

Data Analysis & Detection

• Combine structured and unstructured data from multiple sources to trace deceptive activity
• Use SQL and Python to identify anomalies, trends, relationships, and suspicious behaviour
• Build summary statistics and analytical models that convert raw data into actionable findings
• Support the design and evaluation of new fraud-detection experiments

Case Documentation & Reporting

• Produce thorough case write-ups supported by clear evidence and analytical reasoning
• Maintain detailed observation notes throughout investigations
• Translate complex policy and technical concepts into clear, accessible language
• Present findings, risks, and recommended actions to senior stakeholders

Cross-Functional Collaboration

• Partner with product, engineering, operations, policy, and trust and safety teams
• Help stakeholders understand root causes, exposure, and potential mitigation strategies
• Contribute specialised knowledge as fraud and abuse patterns evolve
• Support improvements to investigative workflows, detection methods, and enforcement processes

Ideal Profile

Strong candidates may have:

• At least 4 years of experience analysing data, identifying trends, and converting findings into business or risk decisions
• At least 4 years of experience managing ambiguous, open-ended analytical or investigative projects
• Professional experience in fraud detection, financial crime, forensic accounting, insurance fraud, banking risk, or a related area
• Strong working knowledge of SQL and Python for investigation and analysis
• Experience reviewing transactions, behavioural signals, or platform activity for anomalies
• Proven ability to communicate analytical findings to senior stakeholders
• Excellent written and verbal communication skills
• Strong investigative judgment, attention to detail, and efficient problem-solving ability
• Prior experience contributing to a previous project within this programme is mandatory

Educational Background

• A bachelor's degree in a technical, analytical, quantitative, or related discipline is preferred
• Equivalent hands-on experience in fraud investigation, risk analysis, data analysis, or trust and safety may also be considered
• Professional training in forensic accounting, financial crime, analytics, compliance, or investigation may strengthen an application
• CFE, ACFE, or a comparable fraud-related qualification may be valuable

Nice to Have

• Familiarity with how fraud and abuse evolve across online consumer platforms
• Experience in trust and safety, content moderation, policy enforcement, or platform integrity
• Background in programme management, policy management, merchant experience, customer experience, or business strategy
• Exposure to policy design, customer support, or operational risk
• Familiarity with AI, machine learning, or generative AI concepts
• CFE, ACFE, or another relevant fraud-investigation certification
• Experience collaborating with product, engineering, operations, and policy teams
• Knowledge of content or review manipulation techniques

Why This Opportunity

• Investigate complex and evolving fraud patterns affecting a large consumer platform
• Apply analytical and investigative expertise to high-impact trust and safety work
• Collaborate across product, engineering, policy, and operations functions
• Help improve fraud-detection experiments and platform-protection strategies
• Build specialised expertise across multiple forms of online abuse
• Participate in a full-time onsite engagement with competitive hourly compensation

Contract Details

• Full-time W-2 contingent role
• Onsite position in India
• Availability during India Standard Time working hours is required
• A private and secure workspace is required due to the sensitive nature of the work
• Competitive rates between $30–$50 per hour depending on experience and project scope
• Work may include fraud investigation, data analysis, case documentation, detection experimentation, and stakeholder reporting
• Prior experience contributing to a previous project within this programme is mandatory
• Engagement duration may be extended, shortened, or adjusted depending on project requirements and performance

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.