Anti-Fraud Operations Manager, TikTok Shop

About the Role

As the Anti-Fraud Operations Manager within TikTok Shop’s USDS (U.S. Data Security) Risk Control and Security division, you will lead the operational line of defense protecting one of the world's fastest-growing e-commerce ecosystems.

In this role, you will manage a team of high-performing operational analysts responsible for detecting, investigating, and mitigating fraud and abuse across the marketplace. You will combine operational oversight, risk strategy, analytical rigor, and cross-functional alignment to ensure TikTok Shop remains a safe, trusted, and compliant environment for buyers, merchants, and creators without compromising business growth or user experience.

Responsibilities

• People Management: Directly lead, mentor, and develop a team of anti-fraud operational analysts, managing daily workflows, project delivery, and performance metrics.
• Vendor & BPO Operations Management: Manage our relationships with external Business Process Outsourcing (BPO) partners and vendor teams, setting performance benchmarks, quality assurance standards, and operational workflows to ensure high-accuracy fraud reviews and appeal handling.
• Investigation Oversight: Guide the team in deep-dive fraud investigations, escalation handling, and forensic analysis to identify emerging threat vectors and bad actor behavior patterns while showing good judgment to support business growth.
• Operational Modernization: Lead the team in adopting next-generation AI and Large Language Model (LLM) tools to automate case handling, share key insights, and enhance threat detection speed.
• Cross-Functional Partnering: Collaborate across various partner teams to build and maintain platform guardrails and align on joint priorities.

Minimum Qualifications

• Experience: 5+ years of experience in Anti-Fraud, Trust & Safety, Risk Operations, or Risk Analytics in tech or e-commerce, with 4+ years in people management.
• Technical Proficiency: Hands-on experience with SQL for data analysis and metric validation, with familiarity in Python, R, or automated workflow tools.
• Risk & Operations Expertise: Proven track record in deep dive fraud investigations, sharing key insights, and designing operational enforcement workflows.
• Global Collaboration: Demonstrated ability to manage projects and align cross-functional stakeholders across different time zones and cultural contexts.
• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Business Analytics, or a related quantitative/technical field.
• Communication & Navigating Ambiguity: Exceptional storytelling skills with the ability to navigate ambiguous risk scenarios and exercise sound operational judgment.

Preferred Qualifications

• Data Security & Privacy: Familiarity with U.S. data security frameworks (USDS), compliance standards, and operating in highly regulated environments.
• AI & Automation Integration: Experience leveraging AI/LLMs or automated workflow tools to optimize manual review processes, case auditing, or operational efficiency.
• E-Commerce & Marketplace Knowledge: Prior experience managing operational risk or fraud in a multi-sided e-commerce marketplace (seller, buyer, creator ecosystems).