18 часов назад
Fintech Risk Management Specialist (AI)
136 800 - 228 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fintech Risk Management Specialist (AI) (FinTech risk operations, fraud detection, and automation): Analyzing payment data and user behavior to detect fraud, manage chargebacks, and build operational processes with an accent on real-time risk investigations, dispute strategy, and AI-driven workflow automation. Focus on implementing AI agents, OCR, LLM-based document parsing, automated risk scoring, and triggers that prevent account and financial losses.
Location: Los Angeles, United States; fully in-person up to 5 days per week
Base salary: $136,800–$228,000 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
A organization operating payment solutions and a data privacy and cybersecurity program for U.S. users and the TikTok platform.
What you will do
- Analyze user behavior, device fingerprints, and login patterns to identify account takeovers, collusion, card testing, and synthetic identity fraud.
- Build automated triggers to freeze suspicious accounts and prevent financial losses, while conducting high-value and complex risk reviews.
- Oversee chargeback and dispute contestment processes, identify winnable cases, and improve automated representment performance.
- Design and optimize Risk Operations SOPs and identify where manual intervention can be replaced by automation.
- Partner with product and engineering teams to implement AI agents, OCR, LLM-based document parsing, and automated risk scoring.
Requirements
- At least 1 year of experience in a quantitative analytical role within Risk Operations, Trust & Safety, or FinTech.
- Required: SQL; Python for data analysis is a plus.
- 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 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 workflows, including LLM text classification or vision-based ID verification.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time with increasing accruals by tenure.
- Inclusive workplace focused on creativity, curiosity, humility, resilience, and continuous iteration.
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