Sr. Fraud Analyst

Mode.Inc

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 3h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 3 hours ago · apply link checked 2 hours ago

About the role

Responsibilities

  • Review fraud data across rewarded apps daily to monitor user behavior and cash-out activity
  • Investigate accounts and decide whether each is fraudulent, documenting reasoning
  • Review redemptions and payout requests, stopping fraudulent payouts
  • Analyze MMP and partner network data to identify invalid traffic and fraudulent sources
  • Track fraud trends and recommend rules, thresholds and step-up verification
  • Build dashboards and reports quantifying fraud financial impact
  • Handle escalations and appeals with Customer Support
  • Set review standards and mentor teammates

Requirements

  • 4+ years in fraud analysis, trust and safety, risk or related analytical role
  • Proficiency in SQL and spreadsheets
  • Understanding of fraud in rewarded apps, offerwalls and MMP data
  • Strong written and verbal communication in English
  • Sound judgment on high-stakes decisions with incomplete information

Preferred Qualifications

  • Experience with Mixpanel, Google Analytics and Python
  • Hands-on experience with Verisoul, Protect360 or TUNE
  • Experience with identity verification flows such as KYC and one-time passcodes
  • Experience with Zendesk

Benefits

  • 100% remote-first global company
  • Competitive compensation, equity plan for full-time members, and individual bonuses
  • Open PTO, company holidays and wellness days

About the Company

Mode is a fast-growing technology company building businesses across AI, data, mobile apps and digital experiences, reaching 100M+ monthly active users.

What we look for

  • 4+ years in fraud analysis, trust and safety, risk or related analytical role
  • Proficiency in SQL and spreadsheets
  • Understanding of fraud in rewarded apps, offerwalls and MMP data
  • Strong written and verbal communication in English
  • Sound judgment on high-stakes decisions with incomplete information
  • Experience with Mixpanel, Google Analytics and Python
  • Hands-on experience with Verisoul, Protect360 or TUNE
  • Experience with identity verification flows such as KYC and one-time passcodes
  • Experience with Zendesk
PythonSQLGoogle WorkspaceZendeskGoogle AnalyticsMixpanelAppsFlyerAdjustSingularVerisoul
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