14 часов назад
Senior Fintech Risk Management Specialist (AI)
167 538 - 312 867$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Fintech Risk Management Specialist (AI): Analyzing payment data and user behavior to detect fraud typologies, manage chargebacks, and build risk operations processes with an accent on real-time fraud detection, dispute strategy, and AI-driven automation. Focus on implementing OCR, LLM-based document parsing, automated risk scoring, and AI agents to eliminate manual review bottlenecks.
Location: Los Angeles, United States; fully in-person schedule up to 5 days a week
Salary: $167,538–$312,867 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
operates payment, trust and safety, data privacy, and cybersecurity programs to protect U.S. user data and support the TikTok platform.
What you will do
- Analyze user behavior, device fingerprints, and login patterns to detect account takeovers, collusion, card testing, synthetic identities, and other fraud typologies.
- Build automated triggers to freeze suspicious accounts and reduce financial losses while conducting high-value and complex risk reviews.
- Oversee chargeback and dispute contests, identify winnable cases, and improve automated representment performance.
- Develop and maintain Risk Operations SOPs and analyze manual-review gaps.
- Partner with Product and Engineering to replace manual workflows with AI agents and automated risk tooling.
- Implement solutions using OCR, LLM-based document parsing, automated risk scoring, and payment-signal ingestion.
Requirements
- At least 1 year of quantitative analytical experience in Risk Operations, Trust & Safety, or FinTech.
- SQL is required; Python for data analysis is advantageous.
- Experience building reporting suites with BI tools such as Tableau.
- Bachelor’s degree in Business Analytics, Statistics, Computer Science, or a related quantitative field.
- Ability to work fully onsite in Los Angeles up to 5 days per week.
Nice to have
- Experience managing external vendors or large-scale moderation workforces.
- Hands-on experience implementing AI agents or machine learning models for operational automation.
- Experience using LLMs for text classification or vision models for identity verification.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match.
- Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
- 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time.
- Inclusive workplace focused on creativity, curiosity, humility, resilience, and continuous learning.
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