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Sr. Director, Fraud & Abuse

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Zip Co Limited
Full Time position
Listed on 2026-10-04
Job specializations:
  • Management
    Data Science Manager
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 220000 - 270000 USD Yearly USD 220000.00 270000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Director, Fraud & Abuse, US
  • A senior leader with a proven track record of transforming fraud, financial crime, or risk operations through the application of data science, machine learning, AI, and modern operating models.
  • A strategic leader capable of building scalable fraud and abuse decision capabilities that protect customers while enabling business growth.
  • A leader who understands that trust is not simply a control function but a competitive advantage.
  • Remote-first opportunity for US-based employees, with the option to work in person out of the Manhattan office. Applicants must be authorized to work in the United States. Zip is unable to provide employment-based visa sponsorship or support visa transfers for this role
Start your adventure with Zip

Join Zip’s leadership team and play a critical role in protecting customers, merchants, partners, and the business while enabling continued growth and innovation.

Reporting to the Chief Operations Officer, the Senior Director, Fraud & Abuse is responsible for leading Zip US’s Fraud & Abuse function and executing a multi-year strategy that protects customers, merchants, and the business while enabling sustainable growth.

As the functional leader for Fraud & Abuse, you will oversee strategy, operations, fraud prevention, investigations, abuse management, and organizational capability. You will modernize fraud decisioning through advanced analytics, artificial intelligence, machine learning, behavioral intelligence, and automation while ensuring operational excellence and an exceptional customer experience.

You will serve as Zip US’s principal advisor on Fraud & Abuse, partnering closely with Product, Engineering, Data Science, Risk, Compliance, Legal, and Operations to solve complex fraud challenges, strengthen trust, and deliver scalable business outcomes.

Interesting problems you’ll get to solve
  • Develop and Lead the execution and evolution of Zip US’s multi-year Fraud & Abuse strategy, translating business priorities into scalable operational capabilities.
  • Lead cross functional fraud prevention, detection, investigation, recovery, and abuse management activities.
  • Continuously evolve and optimize Fraud & Abuse operating models through machine learning, AI, predictive analytics, behavioral intelligence, and automation.
  • Partner with Product, Engineering, Data Science, Analytics, Risk, Compliance, Legal, and banking partners.
  • Serve as the functional subject matter expert and trusted advisor on Fraud & Abuse, providing guidance on emerging threats, operational design, and fraud technology investments.
  • Enhance fraud intelligence capabilities leveraging internal and external data sources to improve direction and decision-making.
  • Drive continuous improvement in fraud loss performance while maintaining customer experience.
  • Develop governance, reporting, and performance frameworks that enable executive decision-making and operational excellence
  • Lead vendor strategy and fraud technology partnerships.
  • Build, lead and develop a world‑class team of fraud professionals, analysts, investigators, and leaders.
Education and training
  • Bachelor’s degree in economics, data science, engineering, computer science, mathematics, or a related field required.
  • Advanced degree preferred.
  • Professional certifications such as CFE, CAMS, CFCS, FRM, or equivalent are highly desirable.
Experience
  • 15+ years of progressive leadership experience in fraud, financial crimes, risk operations, payments, fintech, banking, or related disciplines.
  • 8+ years leading large-scale fraud strategy and operational organizations.
  • Experience leading in organizations of 200+ employees.
  • Demonstrated experience implementing machine learning, AI, advanced analytics, and automated decisioning capabilities.
  • Proven success leading transformational…
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