Senior Fraud Analyst — Remote, Data-Driven Risk & Impact

Mode.Inc; United States; Remote; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

100% remote-first global company

Equity plan for full-time members

Individual bonuses

Zusammenfassung

Mode.Inc is a fast-growing tech company offering rewards across apps and digital experiences. This role focuses on reviewing fraud data daily, investigating accounts, and stopping fraudulent payouts while analyzing MMP data for invalid traffic.

You will track trends, build dashboards, and mentor teammates in a remote-first environment. Ideal candidates bring 4+ years in fraud analysis, strong SQL skills, and excellent English communication.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Fraud analysis

SQL

Spreadsheets

English communication

Risk decision making

Tools

Mixpanel

Google Analytics

Python

Verisoul

Protect360

TUNE

Zendesk

KYC flows

Jobbeschreibung

Mode.Inc is a fast-growing tech company offering rewards across apps and digital experiences. This role focuses on reviewing fraud data daily, investigating accounts, and stopping fraudulent payouts while analyzing MMP data for invalid traffic.

You will track trends, build dashboards, and mentor teammates in a remote-first environment. Ideal candidates bring 4+ years in fraud analysis, strong SQL skills, and excellent English communication.