TikTok Shop - Regional Risk Analyst

About the Team: The TikTok E-commerce Governance and Experience team ensures our marketplace remains safe, trustworthy, and customer-centric across the globe. We protect users, sellers, and creators by designing policies, building systems, and managing operations that safeguard platform integrity.

Role Overview: As an Regional Risk Analyst, you will serve as the regional risk owner, responsible for building, improving, and monitoring business processes that detect and prevent fraudulent activities across transactions, KYC, onboarding, and seller-creator affiliation in the region. You will bridge the gap between business needs and global risk frameworks, deeply understanding your region's unique risk landscape to make strategic decisions on defense deployments. In this evolving environment, you will also play a pivotal role in integrating Artificial Intelligence (AI) into daily operations, leveraging AI agents and machine learning models to scale our defense mechanisms and improve operational efficiency.

Responsibilities:

• Regional Strategy Ownership: Deeply understand business objectives and the specific risk landscape to make critical, data-driven decisions on risk thresholds, rule calibrations, and the launch of new defense strategies, effectively balancing platform security with regional business growth.
• Investigations & Incident Management: Lead investigations and analysis of suspicious behavior, fraudulent transactions, and abuse in a timely manner to protect the integrity of the platform. Respond to escalations and manage incidents end-to-end until resolution.
• AI Workflow & Agent Design: Own regional risk AI workflow optimization. Define AI opportunities for operational processes and capabilities and ideally build AI agents to drive operational improvements, automate investigative tasks, and scale risk detection capabilities.
• Model Monitoring & Prompt Tuning: Evaluate and review AI model output accuracy and data drift signals within your region. Fine-tune LLM prompts continuously to improve model accuracy and operational efficiency. Conduct deep-dive Root Cause Analysis (RCA) when model performance degrades.
• Human-in-the-Loop (HITL) Integration: Design and implement robust Human-in-the-Loop (HITL) supervision protocols to ensure AI-driven decisions are compliant, also safely audited and aligned with complex operational policies and market nuances.
• Threat Intelligence & Vulnerability Mitigation: Monitor user communities for emerging threats and new methods of fraud. Identify vulnerabilities and collaborate proactively with cross-functional teams to mitigate occurrences of fraudulent activity before they scale.
• Cross-Functional Collaboration: Engage with business, technology, product, data, and security/risk stakeholders to align risk strategies with commercial goals. Collaborate with Legal, Public Affairs, and regulators to investigate and respond to inquiries on fraud or crime-related activities.
• Reporting & Strategy: Produce regular high-quality fraud reports summarizing new trends, model performance, and business impacts to influence leadership and guide regional business strategy. Minimum Qualifications:
• 2+ years of experience in operations, investigations, or risk strategy related to fraud, abuse, or cybercrime.
• Strategic Decision-Making: Proven ability to act as a regional owner, demonstrating a strong understanding of market dynamics and the ability to autonomously make high-stakes decisions on risk thresholds and strategy launches.
• Strong Data Extraction & Analytics: Must have the capacity to draw actionable insights from complex datasets; proficiency in SQL is required.
• AI & Model Literacy: Proven ability to interpret machine learning model performance metrics (e.g., precision, recall, and data drift signals) and translate them into operational adjustments.
• Ability to understand opposing points of view on highly complex issues and strong ability to gather information from various online sources and community groups.

Preferred Qualifications:

• Proficiency in Python or equivalent programming languages for advanced data manipulation and automation.
• Prior law enforcement, trust & safety policy, or prosecution experience is a strong plus.