Shop - Anti-Fraud Data Analyst

Responsibilities
About the team
Ecommerce's Governance and Experience(GNE) 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 satisfaction and work on policies, rules, and systems to ensure quality. As the Anti-fraud analyst, you will be responsible for building, improving, and monitoring business processes that detect and prevent fraudulent activities in various scenarios including transactions, KYC, and seller-creator affiliation.
Responsibilities

• Apply investigational and analytic skills to monitor, audit, and analyze potential fraudulent cases and produce root cause analysis report with value-added risk mitigation suggestions.
• Collaborate with product managers, data scientists, and the engineering team to evaluate the efficiency of existing tools, processes, and models related to fraud management.
• Understand the trends and intelligence of fraudulent activities in each market and build intelligence systems to mitigate fraud.
• Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
• Drive process implementation and improvement that streamlines determination of fake orders, incentive abuse, and/or other types of fraud.
• Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.

Qualifications
Minimum Qualifications

• Bachelor's degree or above with a background in Computer Science, Business Analytic, Math, Statistics, or related field.
• Strong data analysis and correlation skills with ability to work through complex and unfamiliar data sets and able to derive the characteristics of different scenarios.
• Comfortable in a matrix organization and to drive cross-functional and cross-regional collaborations.
• Strong attention to detail and ability to notice discrepancies in data.
• Experience with SQL and analytical tools (SAS, R, Python) is a must.
• Experience with AI and machine learning is a plus.

Preferred Qualification
- Familiarity with risk and fraud in Ecommerce fields is a strong plus;
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Seniority level
Seniority level Associate
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Technology, Information and Internet
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