Senior Fraud Analyst

Location: Remote; the company describes itself as 100% remote-first and global.

Company

hirify.global is a fast-growing technology company building AI, data, mobile apps, and digital experiences used by more than 100 million monthly active users.

What you will do

• Monitor fraud data, user behavior, earnings, cash-outs, redemptions, and payout requests across rewarded apps, including Mode Earn App and EarnWise.
• Investigate accounts using device, network, identity, linked-account, payment, and behavioral data; make and document fraud decisions and handle appeals.
• Analyze Mobile Measurement Partner and partner-network data to identify invalid traffic, bots, install farms, fraudulent sources, attribution fraud, and affected campaigns or offers.
• Build and refine rules, risk scores, thresholds, step-up verification, dashboards, queries, and reports; measure fraud losses, prevented payouts, fraud rates, gross-margin impact, and false positives.
• Partner with Customer Support, Product, Engineering, Growth, and external partners to implement safeguards, dispute invalid conversions, improve tools, and protect legitimate users.
• Set review standards, mentor analysts and support team members, maintain fraud playbooks, evaluate fraud vendors, and apply AI tools while reviewing AI-assisted work for accuracy.

Requirements

• 4+ years of experience in fraud analysis, trust and safety, risk, or a related analytical role, including hands-on account investigations and fraud decisions. Experience in rewarded apps, offerwalls, mobile gaming, fintech, or ad tech is preferred.
• Track record of identifying fraud patterns, building rules or controls, and measuring results.
• Strong analytical mindset with proficiency in SQL and spreadsheets; ability to independently analyze large datasets, identify relationships and patterns, and explain business implications.
• Experience with analytics tools such as Mixpanel and Google Analytics.
• Understanding of fraud in rewarded and incentive-based apps, including multi-accounting, device farms, emulators, device spoofing, VPNs, residential proxies, bots, AI-driven automation, shared payout accounts, and offer or referral abuse.
• Experience analyzing Mobile Measurement Partner data from platforms such as Singular, AppsFlyer, or Adjust, including click flooding, click injection, install hijacking, SDK spoofing, and device ID resets.
• Understanding of offerwalls and performance partner networks, including conversions, postbacks, and reversals.
• Sound judgment for high-stakes decisions with incomplete information, balancing fraud prevention and legitimate-user experience.
• Fluent English, strong written and verbal communication, and ability to explain technical findings to non-technical colleagues and leadership.
• Strong working knowledge of G Suite products, ability to learn quickly, manage multiple tools and tasks, focus on solutions, and collaborate as a team player.

Nice to have

• Python experience.
• Hands-on experience with Verisoul, including multi-accounting, device, and network signals.
• Experience with identity verification and step-up flows such as one-time passcodes and KYC.
• Experience with TUNE, Protect360, or customer service platforms such as Zendesk.

Culture & Benefits

• Remote-first global workplace with a culture centered on innovation, collaboration, curiosity, transparency, accountability, and continuous improvement.
• Competitive compensation, generous benefits, remote social activities, and recognition through Bonusly.
• Equity plan, individual bonuses, open PTO, company holidays, and wellness days for full-time team members.
• Weekly Wednesday Get Stuff Done Days without meetings.
• AI-native workflows with training and opportunities to improve how AI is used in fraud operations.