About the team
The TikTok E-commerce Governance and Experience team is responsible for ensuring our marketplace is safe and trustworthy for users, sellers, and creators globally. We value user satisfaction and work on policies, rules, and systems to ensure quality for our community. As an Anti-fraud investigations and operations analyst, you will be responsible for building, improving, and monitoring business processes that detect and prevent fraudulent activities in various scenarios including transactions, KYC, onboarding, and seller-creator affiliation. Responsibilities - Lead investigations and analysis of suspicious behaviour, fraudulent transactions, and abuse in a timely manner to protect the integrity of the platform. - Identify vulnerabilities, and collaborate with cross functional teams to mitigate or prevent occurrences of fraudulent activity. - Monitor user communities for emerging threats and new methods of fraud. - Respond to escalations, and manage the incident until the case is resolved. - Engage with various business, technology, and security/risk stakeholders to identify and solve risk problems at scale. - Collaborate with product, and data teams to build solutions to proactively or reactively prevent exploitation of the platform. - Collaborate with Legal, Public Affairs, and other cross-functional teams (when needed) to investigate and respond to regulator inquires on fraud and (or) crime-related activities. - Produce regular high-quality fraud reports to summarize new trends and business impacts for updating management teams. - Perform other ad-hoc tasks related to fraud operations. - Cross-timezone work and travel if required for work.
Minimum Qualification(s) - Minimum of 4+ years professional experience in operations, and investigations related to fraud, abuse, or cybercrime. - Detail-oriented, highly analytical, and strong project management skills. - Ability to understand opposing points of view on highly complex issues. - Strong ability to gather information from various online sources and community groups. Preferred Qualification(s) - Capacity to draw actionable insights from datasets; knowledge of SQL, Python, or equivalent is a plus. - Prior law enforcement and/or prosecution experience is a plus.