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4 дня назад

Lead Fraud Intelligence & Strategy Analyst (Fintech)

116 000 - 203 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
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
Lead Fraud Intelligence & Strategy Analyst (Fintech): Analyzing transaction, fraud, and case data across the Verafin network to uncover emerging threats and improve fraud strategies with an accent on threat intelligence, fraud pattern analysis, and client recommendations. Focus on identifying anomalies, reducing false positives, translating data into product improvements, and scaling threat hunting through automation, AI, and better data architecture.

Location: Hybrid, with at least 3 days per week in the office, in New York, Toronto, St. John's, Philadelphia, or Atlanta.

Base salary: $116,000–$203,000 per year, plus annual bonus or commission, equity, and benefits.

Company

hirify.global provides financial technology and fraud intelligence solutions through Verafin, using consolidated financial-services data to help institutions detect and respond to fraud.

What you will do

  • Hunt for emerging fraud threats and patterns across transaction data, case data, marked fraud, and other Verafin network signals.
  • Turn fraud intelligence into actionable insights for clients and internal teams.
  • Analyze how enterprise clients use Verafin scores and data, identifying ways to improve detection and reduce false positives.
  • Collaborate with Product, Customer Success, Sales, and Marketing on client recommendations, product improvements, and fraud intelligence.
  • Help scale threat hunting and strategy analysis through automation, AI, and data architecture improvements.

Requirements

  • 5+ years of experience in fraud analytics, fraud strategy, or a related area.
  • Strong SQL and data analysis skills, including experience with large, complex transactional data sets.
  • Strong understanding of fraud typologies and financial services, including scams, account takeover, and payment fraud.
  • Ability to identify patterns and anomalies and turn findings into practical recommendations.
  • Excellent communication skills for presenting data-driven insights to technical teams and non-technical clients.

Nice to have

  • Experience with AI/ML concepts, automation, or agentic AI tools.
  • Experience with enterprise financial institutions or fraud and cybersecurity threat intelligence.
  • Familiarity with payment systems and analytical tools such as Python, R, or data visualization platforms.

Culture & Benefits

  • Hybrid home/office schedule with at least three office days per week for this role.
  • 401(k) program with a 6% employer match and employee stock purchase program with a 15% discount.
  • Medical, dental, vision, health spending account, life and disability plans, paid time off, and paid flex days.
  • Paid parental and bereavement leave, fertility benefits, and family support programs.
  • Education assistance, professional development, job skills training, volunteer days, and employee resource groups.

Hiring process

  • Reasonable accommodation is available throughout the hiring process.

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