FinTech Fraud & Risk Automation Specialist

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 144,000 - 329,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with company match
Paid parental leave
Short-term disability
Long-term disability
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days Paid Personal Time

Job summary

TikTok USDS Joint Venture LLC is seeking a data-driven specialist to strengthen financial ecosystem health by analyzing large datasets to detect advanced FinTech fraud typologies in real-time. You will help build AI-driven tooling and automation to speed up dispute handling and risk scoring, while reducing manual bottlenecks across product and engineering teams.

Role focuses on automating ingestion of dispute evidence, implementing AI agents, and improving fraud response speed, with hands-on

Qualifications

  • 1+ years of quantitative analytical experience in Risk Operations, Trust & Safety, or FinTech.
  • SQL is required; Python for data analysis is a plus.
  • Bachelor's degree in Business Analytics, Statistics, Computer Science, or related field.

Responsibilities

  • Fraud Investigation: analyze behavior, device fingerprints, login patterns to identify ATO and collusion; build automated triggers for suspicious accounts.
  • Chargeback & Dispute Strategy: oversee end-to-end contestment; automate evidence gathering to improve win rate.
  • SOP Design & Optimization: develop and maintain risk operations SOPs; analyze gaps to determine AI coverage.
  • AI and Automation Implementation: identify opportunities to replace manual workflows with AI agents; collaborate with Engineering on OCR and LLM-based parsing.

Skills

SQL
Python (data analysis)
Tableau

Education

Bachelor's degree in Business Analytics or related

Tools

Tableau

Job description

TikTok USDS Joint Venture LLC is seeking a data-driven specialist to strengthen financial ecosystem health by analyzing large datasets to detect advanced FinTech fraud typologies in real-time. You will help build AI-driven tooling and automation to speed up dispute handling and risk scoring, while reducing manual bottlenecks across product and engineering teams.

Role focuses on automating ingestion of dispute evidence, implementing AI agents, and improving fraud response speed, with hands-on

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