Anti-Fraud Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026 Start (BS/ MS)

- 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 in 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, local 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.

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 as early as possible.

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

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)
- 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
- Experience with AI and machine learning
- Familiarity with risk and fraud in E-commerce fields is a strong plus

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $82228 - $128356 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Client-provided location(s): Seattle, WA

Job ID: TikTok-7532640666636437767

Employment Type: OTHER

Posted: 2025-07-31T00:38:34