Manager, Fraud Intelligence

About Our Client

The organization operates in the post-purchase retail technology industry, helping merchants improve customer satisfaction, fraud prevention, and operational efficiency. Its AI-driven platform automates customer service, returns and exchanges, fulfillment, product and shipping protection, and fraud detection. Serving more than 1,000 merchants across diverse industries, the organization helps businesses build consumer trust, reduce costs, and improve profitability through integrated technology solutions.

About the Opportunity

The Manager, Fraud Intelligence leads a team responsible for analyzing large-scale behavioral and transactional data to identify, investigate, and prevent fraud and abuse. This role strengthens the organization’s fraud prevention capabilities by developing analytics, monitoring solutions, and AI-driven strategies that protect retailers, improve customer trust, and deliver measurable financial impact.

Responsibilities

• Lead a team of analysts in identifying behavioral and transactional signals associated with fraud and abuse.
• Develop monitoring tools and mitigation strategies to address emerging fraud threats.
• Track and optimize AI agent performance supporting fraud prevention operations.
• Collaborate with Machine Learning teams to translate fraud patterns and insights into effective model features.
• Develop and report metrics that measure operational efficiency, fraud prevention performance, and financial savings.
• Hire, mentor, coach, and support the professional development of junior data analysts.
• Conduct design and code reviews to maintain analytical and technical quality standards.
• Partner with leadership and cross-functional teams to develop and execute fraud prevention strategies.
• Promote a culture of learning, experimentation, collaboration, and continuous improvement.

Requirements

• 6+ years of experience in fraud analytics, preferably within e-commerce or retail environments.
• 2+ years of experience managing analytics teams.
• Experience working in startup or high-growth environments is preferred.
• Strong proficiency in statistical analysis, data wrangling, and data storytelling.
• Proficiency with SQL and Python.
• Demonstrated leadership and talent development capabilities.
• Excellent communication and stakeholder management skills.
• Strong attention to detail, intellectual curiosity, and understanding of fraud patterns and behaviors.
• Collaborative and empathetic approach to team leadership.
• Must be located within the continental United States.

Pay Range and Compensation Package

Expected annual salary range of $157,250–$182,750.