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Product Manager III – Fraud Prevention
| Company | Remitly |
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| Location | Seattle, WA, USA |
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| Salary | $152000 – $171000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 5+ years of relevant product management experience.
- Experience motivating cross-functional teams; across software engineering, UI design, and analytics, with an understanding of how things work within those domains
- Experience with large-scale web, e-commerce applications/mobile applications
- Data is the source of your decision-making and you will have experience working with customer data to develop better customer experiences
- Experience setting and implementing product strategy, road-mapping, and prioritisation
- Experience working with engineers to make tough technical tradeoffs and you can sweat the details to understand the impacts of these tradeoffs and find a careful balance between short-term outcomes and long-term effects.
Responsibilities
- Serve as the primary product manager responsible for managing fraud prevention and underwriting in Lending, ensuring both proactive and reactive strategies are effectively executed to minimize losses and reduce risk.
- Develop and prioritize the fraud prevention and underwriting roadmap for Lending, balancing immediate needs with long-term strategic goals.
- Design and implement automated fraud detection rules leveraging existing systems within Remitly to minimize losses and improve efficiency.
- Collaborate with the Customer Management team to create processes for handling manual exceptions and addressing complex fraud cases.
- Actively oversee day-to-day fraud trends, ensuring timely responses to emerging threats.
- Act as one of two key decision-makers responsible for opening and shutting down corridors based on fraud insights and risk evaluation.
- Lead vendor evaluation, selection, and management efforts for fraud prevention tools, collaborating closely with Lending and Core Product Managers to integrate solutions effectively.
- Gather requirements and define fraud and underwriting rules in partnership with Lending data science, engineering, and analytics teams, ensuring alignment with broader remittances and business objectives.
Preferred Qualifications
No preferred qualifications provided.
