aipythonsqlllmincident responsefraud preventionmobile securitytrust and safetyanti abuserisk strategy
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Современные инструменты
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Hirify AI/Оригинал
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.
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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