R

Radar

Real-time RFID inventory tracking for stores

Fraud Operations Manager

Risk ManagementPosted on Nov 10
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 3–5 years of experience in fraud operations, risk, or trust and safety at a bank, financial technology company, payments company, or online marketplace.
  • Be familiar with geolocation software and have experience using location data.
  • Have experience using SQL to query and analyze data, diagnose root causes, and recommend operational or product improvements.
  • Be able to communicate complex fraud problems to technical and non-technical stakeholders, including explaining why a fraud vector matters to non-fraud stakeholders.

Responsibilities

  • Develop deep familiarity with Radar’s functionality and back-office user experience to help customers use the platform effectively.
  • Identify, analyze, and document anomalous or fraudulent end-user behavior, and recommend platform optimizations to address it.
  • Serve as a subject-matter expert on fraud vectors for internal teams and external customer fraud and risk teams.
  • Use artificial intelligence and other automation tools to analyze labelled datasets and extract attributes that refine Radar’s anti-fraud modeling.
  • Develop an understanding of end-user journeys across customers to map fraud vectors to specific action patterns.
  • Monitor fraud trends across core verticals and help keep customers ahead of bad actors.
  • Own fraud and risk relationships for an assigned account portfolio, lead recurring fraud syncs, and partner with Customer Success and Solutions Engineering to strengthen customer relationships.
  • Inform the creation of new product capabilities and optimization of existing capabilities to address customer needs.

Desired Qualifications

  • Experience with advanced Google Sheets or Excel, Metabase, Tableau, Looker, or similar tools.

About the Company

Radar

Real-time RFID inventory tracking for stores

GoRadar provides real-time inventory tracking and automation for physical stores using high-speed RFID combined with AI to map product distribution inside brick-and-mortar spaces. The system uses millimeter-level location updates and rapid scans to generate continuous stock metrics, enabling automated replenishment, misplaced-item alerts, and analysis of customer interactions, including in fitting rooms, with data streams that support automatic cart updates for checkout. It differentiates itself with superior location precision and fast scanning compared with traditional RFID, offering ongoing diagnostics and floor-configuration insights for large retailers and end-to-end omnichannel fulfillment. Its goal is to help retailers increase efficiency, prevent stockouts and shrinkage, and speed up omnichannel order fulfillment by turning stores into digitally measurable environments.

Company size
201-500
Company stage
Series B
Total funding
$261.1M
Headquarters
New York City, New York
Founded
2016

Recently Posted Jobs

Explore more opportunities at Radar

See more jobs