Trust and Safety Specialist

This is a fully remote position, open to applicants in India.

📋 Description

• Conduct comprehensive investigations from start to finish by evaluating flagged accounts, analyzing identity indicators, behavioral flags, and platform activity data, making decisions, and executing removals in line with policy and service level agreements (SLA).

• Take charge of identity-verification assessments for flagged or high-risk accounts, which includes verifying identity and location indicators.

• Perform manual audits and reviews, focusing on cases based on risk levels and signal strength.

• Identify multi-accounting and integrity violations through the examination of linked accounts, devices, locations, and behavioral patterns.

• Utilize hypothesis-driven investigative techniques to generate repeatable, auditable outcomes.

• Report new fraud trends, false positives/negatives, and gaps in rules to the fraud strategy team.

• Manage sensitive information in accordance with GDPR-compliant data handling and deletion protocols.

• Work collaboratively with Research Labs, Quality Strategy Architecture, and Forward Deployment Engineering to address tooling deficiencies and enhance processes.

⛳️ Requirements

• A minimum of 4 years of experience in Trust & Safety (T&S), fraud/risk management, or identity-verification investigations.

• Direct experience with identity and fraud signals, including device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud assessment.

• Proficient in identifying patterns related to multi-accounting, account integrity issues, linked-account abuse, farming, or account sharing.

• Strong discipline in case documentation, ensuring clean and evidence-based case notes.

• Capacity to prioritize investigation workloads based on risk and signal strength.

• Fundamental knowledge of GDPR or similar data privacy regulations concerning case management and data retention/deletion.

• Bachelor’s degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field, or equivalent practical experience in T&S, fraud investigations, or identity verification.

• Relevant certifications are advantageous: CFE, CAMS, or IDV/identity risk vendor certifications.

• Nice-to-have: experience in AI/ML data annotation, reinforcement learning from human feedback (RLHF), or research operations workforce platforms.

• Nice-to-have: familiarity with rule-based fraud detection systems.

• Nice-to-have: knowledge of clustering and anomaly detection methodologies in fraud detection.

• Nice-to-have: experience with case management systems.

• Must be located in India.

🏝️ Benefits

• Competitive salary package.

• Opportunities for professional development and growth.

• Flexible working arrangements.

• Collaborative and innovative work environment.