Affirm
Manager, Fraud Operations
Remote Canada · Senior
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About the role
- As a Fraud Operations Manager, you will play a critical, strategic leadership role responsible for overseeing operations across multiple Fraud Operations teams and pods, including those focused on disputes and compliance work.
- A primary focus is cultivating a high-performance, psychologically safe culture that ensures teams meet business objectives, including productivity and accuracy, while fostering a strong sense of belonging, inclusion, and personal development.
Responsibilities
- Lead & Develop Talent
- Lead, coach, and develop a group of people leaders and Individual Contributors (ICs) across multiple, specialized teams/pods, providing ongoing feedback, performance management, and career development to build long-term organizational capability.
- Drive team performance using key metrics such as productivity, quality, customer outcomes, and service levels
- Partner with recruiting to hire, onboard, and retain top talent
- Set Strategy & Own Program Performance
- Drive operational excellence by leveraging domain expertise to identify and implement transformational changes and efficiencies that simplify investigator workflows.
- Drive Cross-Functional Alignment
- Proactively identify and mitigate systemic issues by looking beyond standard reporting and collaborating with cross-functional partners.
Requirements
- 5+ years of experience in fraud management or related people management roles, including proven experience leading managers or senior ICs.
- Experience with AI project-driven initiatives (e.g., leveraging AI-enabled tools, agent assist, or automation to improve operational efficiency or knowledge management).
Compensation
- Employees new to Affirm typically come in at the start of the pay range.
Benefits
- Ensure full accountability for service levels and productivity of assigned areas, proactively managing queue health through data-driven burn down plans to maintain a healthy buffer.
This listing is sourced directly from Affirm's careers page and normalized into a canonical job model.