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18 часов назад

Fintech Risk Management Specialist (AI)

136 800 - 228 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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 hirify.global 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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