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9 дней назад

Director, Trust & Anti-Fraud

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
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
Director, Trust & Anti-Fraud (AI/mobile gaming): Building and leading fraud detection, prevention, enforcement, and incident-response capabilities for a mobile gaming rewards platform with an accent on AI-driven abuse, fraud strategy, and traffic quality. Focus on designing detection logic, coordinating cross-functional response to attacks, establishing fraud metrics and on-call processes, and protecting players, advertisers, and revenue.

Location: Hybrid in Canada, with two days per week in the Toronto or Montreal office; other listed locations include New York, NY.

Company

hirify.global is a mobile gaming loyalty platform where players earn rewards for playing games, while game studios and advertisers use the platform to acquire engaged users.

What you will do

  • Own the fraud strategy, roadmap, metrics, and abuse reviews for new features, offers, and reward mechanics.
  • Lead investigations, detection logic, enforcement policies, appeals processes, and production handoffs with Fraud Analytics, Engineering, Product, Commercial, and Marketing.
  • Establish fraud on-call rotations, incident-response playbooks, escalation paths, communications, and post-incident remediation.
  • Set traffic-quality standards for LoyaltyPlay and third-party offerwall publishers, including publisher-level fraud assessment and advertiser disputes.
  • Make fraud operations AI-native by applying LLMs and coding agents to triage, evidence gathering, investigations, and detection.
  • Own platform and vendor decisions involving Play Integrity, App Attest, MMP fraud tooling, device intelligence, and bot detection.

Requirements

  • 10–12 or more years of experience in fraud, risk, trust and safety, or anti-abuse, primarily in a consumer platform, mobile ad network, MMP, or rewards business.
  • Direct experience handling several relevant threats, including device farms, emulators, multi-accounting, referral abuse, account takeover, spoofed playtime or purchases, and low-quality traffic.
  • Strong SQL, sufficient Python for prototyping and analysis, and experience designing detection logic that ran in production.
  • Strong analytical and critical-reasoning skills, including loss sizing, control-cost assessment, and defensible decision-making.
  • Experience owning a fraud or risk strategy and roadmap and presenting it to senior leadership or a board.
  • Experience managing fraud or security incidents end to end, including on-call and incident-response processes and post-incident remediation.
  • Ability to deliver through teams without direct management authority and collaborate effectively with analytics and engineering leaders.
  • Practical use of LLMs and coding agents, prior application of AI to detection or investigation, and sound judgment about where human decisions are required.
  • Working familiarity with Play Integrity, App Attest or DeviceCheck, MMP fraud suites, and device-intelligence vendors.
  • Strong communication, collaboration, and follow-through skills.

Nice to have

  • Experience with rewarded gaming, offerwalls, or incentivized user acquisition.
  • Databricks or Spark experience.
  • Graph or link analysis experience.
  • Mobile client security knowledge.
  • Prior people management experience or interest in growing into team leadership.

Culture & Benefits

  • Direct ownership of a domain protecting revenue, player trust, and advertiser relationships, with reporting to senior leadership and the board.
  • Daily partnership with Fraud Analytics and Engineering leadership in an AI-forward engineering culture.
  • Opportunity to build and lead a team as the function expands.
  • Competitive compensation and benefits package.
  • Team lunches, game nights, company-wide events, and virtual or in-person activities.

Hiring process

  • Conversation about professional experience.
  • Fraud strategy case and hands-on data exercise; AI assistants are welcome.
  • Onsite conversation with the CTO, Fraud Analytics Manager, and Fraud Engineering Manager to present the case to senior leadership.

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