TikTok
Anti-Fraud Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026
TikTok, Seattle, Washington, us, 98127
Overview
Anti-Fraud Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026 Start (BS/MS) Join to apply for the Anti-Fraud Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026 Start (BS/MS) role at TikTok. 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. Responsibilities
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 Role Context
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. 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 and Benefits
Compensation details: The base salary range for this position in the selected city is $82,228 - $128,356 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is part of the total package and may include discretionary bonuses, incentives, and restricted stock units. Benefits include medical, dental, vision insurance, a 401(k) with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated on hire). Equal opportunity statement: TikTok is an equal opportunity employer. We value diversity and strive to create an inclusive environment. If you need accommodations during the recruitment process, please reach out to us. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have a global presence with offices around the world. Note: This description retains core responsibilities and qualifications and omits unrelated boilerplate and extraneous postings to ensure a clear, focused job specification.
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Anti-Fraud Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026 Start (BS/MS) Join to apply for the Anti-Fraud Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026 Start (BS/MS) role at TikTok. 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. Responsibilities
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 Role Context
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. 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 and Benefits
Compensation details: The base salary range for this position in the selected city is $82,228 - $128,356 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is part of the total package and may include discretionary bonuses, incentives, and restricted stock units. Benefits include medical, dental, vision insurance, a 401(k) with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated on hire). Equal opportunity statement: TikTok is an equal opportunity employer. We value diversity and strive to create an inclusive environment. If you need accommodations during the recruitment process, please reach out to us. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have a global presence with offices around the world. Note: This description retains core responsibilities and qualifications and omits unrelated boilerplate and extraneous postings to ensure a clear, focused job specification.
#J-18808-Ljbffr