Anti-Fraud Data Analyst Graduate

About Our Team

TikTok Shop’s Governance and Experience (GNE) team is a global, mission-driven group dedicated to building a safe, fair, and seamless marketplace for users, sellers, and creators. Behind every transaction, we shape trust policies, engineer intelligent systems, and design secure, intuitive user journeys that protect the integrity of the platform and enhance the e-commerce experience for millions every day.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

What Makes Our Graduate Track Unique?

Our graduate track is designed to develop cross-functional talent with deep expertise in governance and experience, while also cultivating broad, cross-domain understanding.

Within your first year, you’ll rotate into carefully selected cross-functional teams, broadening your perspective, sharpening your problem-solving skills, and developing leadership skills to drive meaningful impact across the business. Each rotation’s duration and pathway are thoughtfully designed to help you connect the dots across business areas, grow strategically, and build the versatility needed to thrive in a fast-evolving environment.

• Go deep and go broad — Develop cross-functional agility and understanding to adapt to evolving markets and accelerate your growth.
• Solve real problems with global impact — Contribute to projects that shape the experience for millions of users and sellers around the world.
• Build what doesn’t exist yet — shape new systems, processes, and policies in a fast-scaling business.

What's This Role About?

As an Anti-Fraud Data Analyst Graduate in the Risk Control and Security team, you’ll be at the frontline of identifying and combating fraudulent activity across the platform, working closely with risk operations, product managers, data scientists, and engineers. Your role will involve deep analysis of fraud patterns, performance metrics, market intelligence and system performance — turning insights into actionable improvements in tools, policies, and processes. This is a highly collaborative and impact-driven role that sits at the intersection of data, product, and operations, helping us strengthen platform trust and scale fraud mitigation across global markets.

Examples Of What You'll Work On

• Apply investigational thinking and data analysis to support fraud case audits, identify root causes, and propose actionable risk mitigation strategies.
• Collaborate with product, data, and engineering teams to evaluate and improve fraud detection tools, rules, and business processes.
• Build dashboards and reporting models to monitor risk exposure, track intervention outcomes, and support data-driven decision-making.
• Study fraud trends and behavior patterns across regions and contribute to the design of fraud intelligence systems.
• Support process improvements that address platform abuse scenarios, such as reseller detection, incentive manipulation, and fake transactions.
• Communicate findings and complex results clearly to cross-functional stakeholders, and help manage mitigation project timelines and priorities.

We are seeking ambitious individuals who are passionate about solving complex problems and delivering meaningful impacts on millions of users.

Qualifications

Minimum Qualifications

• Final year student (graduate in 2026) or recent graduates with less than 1 year of working experience, majoring in Computer Science, Business Analytics, Mathematics, Statistics, Data Science, or related fields with strong academic performance.
• Experience with SQL and analytical tools (SAS, R, Python) is a must.
• Strong Analytical Skills – Comfortable working with data to uncover insights and drive decisions.
• User-First Thinking – Understand and anticipate users' needs to build better experiences.
• Drive and Adaptability – Thrive in fast-paced environments and navigate change with agility.
• Curiosity and Creativity – A knack for turning ideas into actionable strategies and a desire to explore innovative approaches.

Preferred Qualifications

• Familiarity with risk and fraud in Ecommerce fields is a strong plus.
• Experience with AI and machine learning is a plus.

Key skills/competency

• Data Analysis
• Fraud Detection
• SQL
• Python
• Risk Mitigation
• E-commerce
• Machine Learning
• Reporting
• Problem Solving
• Stakeholder Communication