TikTok · 9 hours ago
FCC Cross-Platform Data Analyst - Global Payment
San Jose, CA
Full-time
Onsite
Senior Level
$122K/yr - $265K/yr
5+ years expTikTok is the leading destination for short-form mobile video, and they are seeking a specialized Data Analyst to pioneer their cross-platform compliance strategy. This role involves analyzing complex datasets, developing policies for financial crimes investigations, and collaborating with various teams to enhance compliance measures.
Content CreatorsContent DiscoveryMedia and EntertainmentSocial MediaVideo
Responsibilities
Analyze complex datasets across disparate platforms, correlating financial transaction data with non-financial signals (e.g., login patterns, device fingerprinting, Trust & Safety violations, marketplace interactions)
Identify patterns where platform abuse (e.g., fraud, scams, illegal goods) precedes or coincides with money laundering or terrorist financing risks
Build data models that trigger alerts based on hybrid indicators (e.g., a user flagged for hate speech who suddenly receives large peer-to-peer transfers)
Develop and document the logic for "Non-Financial STR Referrals," defining exactly when a Trust & Safety or Marketplace signal should trigger a financial crimes investigation
Create Standard Operating Procedures (SOPs) for the intake of cross-platform referrals, ensuring they meet regulatory standards for Suspicious Transaction/Activity Reports
Collaborate with Legal and Compliance leadership to calibrate risk thresholds, ensuring we capture true positives without overwhelming investigators with noise
Work with Engineering and Product teams to automate the ingestion of T&S signals into the FCC case management system
Design dashboards to monitor the volume, quality, and outcome of cross-platform referrals (e.g., conversion rates from T&S referral to STR filing)
Conduct "below-the-line" testing to tune detection scenarios and reduce false positives
Drive the design and execution of foundational FCC analytics initiatives. Go beyond routine analysis to uncover emerging risk typologies, assess control effectiveness, and provide data-driven recommendations that directly influence FCC/AML policy, operational strategies, and risk appetite
Take ownership of the analytics lifecycle for risk detection. Design, develop, and validate innovative data signals and features from complex, large-scale datasets to enhance our transaction monitoring, sanctions screening, and customer risk rating models
Architect and maintain a suite of robust dashboards and automated reports for Management Information (MI) reporting, providing senior leadership with clear visibility into key risk indicators (KRIs), control performance, and trend analysis
Act as the primary liaison between the Trust & Safety, Product, and FCC Investigations teams
Translate complex data findings into clear policy recommendations for senior leadership
Provide training to investigators on how to interpret non-financial data points within a financial crime context
Qualification
Required
Bachelor's degree or higher in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline
5+ years of hands-on experience in data analytics, data science, or a similar role, with a significant focus on the financial services, FinTech, or regulatory compliance/risk management sectors
Advanced proficiency in SQL and demonstrable experience using Python or R for complex data manipulation, statistical analysis, and automation
Proven experience working with large-scale data warehousing environments (e.g., Hive, Spark SQL, Presto) and familiarity with ETL principles
Solid understanding of core AML/CFT and sanctions compliance domains (e.g., KYC/KYB, Transaction Monitoring, Sanctions Screening)
Preferred
CAMS, CFE, or other relevant professional certification is highly desirable
Deep knowledge of major AML regulatory frameworks (e.g., BSA/AML, EU AML Directives, MAS guidelines) and their practical application in a payments or e-commerce context
Experience working in multi-product ecosystem (Social Media + Payments)
Experience in developing or validating AML models and an understanding of model risk management principles
Demonstrated ability to lead complex analytical projects from conception to completion and effectively influence cross-functional stakeholders at all levels
Exceptional communication and presentation skills, with the ability to translate complex data findings into clear, concise, and compelling narratives for both technical and non-technical audiences
Benefits
Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Company
TikTok
TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.
10001+ employees
H1B Sponsorship
TikTok has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (979)
2024 (601)
2023 (387)
2022 (322)
2021 (133)
2020 (72)
Funding
Current Stage
Late StageLeadership Team
N Ali Mohamed
CEO
Blake Chandlee
VP Global Business Solutions
Recent News
2026-01-25
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2026-01-25
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