TikTok Shop - Regional Risk Analyst

Responsibilities

About the Team:

Our E-commerce's Governance and Experience is a global team responsible for ensuring our marketplace is safe and trustworthy for not only users but also sellers and creators. We value user experience and work on policies, rules, products, and systems to ensure quality. We are looking for passionate talents to join us, thus together we can build a e-commerce ecosystem that is innovative, secure, and intuitive for our users.

As a 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, buyer and creator affiliation in the region. You will bridge the gap between local 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:

- Deeply understand the business objectives and the specific local landscape to make critical, data-driven decisions on risk mitigation strategies, effectively ensuring platform security in order to support regional business growth.
- Design and manage BPO work flows and SOPs to ensure that manual repetitive analytical tasks can be scaled through outsourcing. Partner with platform product team to ensure that data pipelines are maintained such that queues are not impacted by data delays.
- Deliver training for BPOs and act as the SME (Subject Matter Expert) to address any concerns they may have.
- Lead investigations and analysis of suspicious behaviours, 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.
- 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.
- 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.
- 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.
- 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 localized inquiries on fraud or crime-related activities.
- Produce regular high-quality fraud reports summarizing new trends, model performance, and business impacts to influence leadership and guide regional business strategy.

Qualifications

Minimum Qualifications:
- 2+ years of experience in operations, investigations, or risk strategy related to fraud, abuse, or cybercrime.
- 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.
- High Oral/Written proficiency in English and Spanish is required for this role due to cross functional collaboration with global teams.

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.

Please submit resumes in English