Responsibilities
About the Team
TikTok Shop's Governance and Experience (GNE) is a global team aiming to build a safe and trustworthy marketplace for not only users, but also partners. 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 commerce ecosystem that is innovative, secure and intuitive for our users.
As part of the GNE organization, the risk control and security team 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.
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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.
- Experience with SQL and analytical tools (SAS, R, Python) is a must.
Preferred Qualifications
- 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 AI and machine learning is a plus.
- 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 $82227 - $128355 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.