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Job Description
Structured overview of role & requirementsAbout This Role
Own and prioritize the fraud and risk product roadmap focusing on fraud loss reduction, merchant experience, and business growth.
Set strategy and build AI-driven automation for fraud detection and prevention across merchant lifecycle stages including onboarding, payments, and disputes.
Define success metrics (e.g., fraud loss rates, chargeback rates) and partner cross-functionally with data science, operations, compliance, legal, and external vendors to deliver scalable solutions.
Minimum Requirements
Minimum 3 years of product management experience, preferably in fraud, risk, payments, fintech, or trust & safety.
Must have working knowledge of payments ecosystem including card networks, processors, acquirers, chargebacks, disputes, and KYC/KYB processes.
Strong analytical skills expected; comfort with data analysis and understanding ML models and rules engines; SQL skills a plus.
Work Experience Required: 3+ years in relevant domains; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in balancing fraud risk with customer friction and growth in a high-ambiguity, fast-paced environment.
Proven ability to work effectively cross-functionally with operations, compliance, legal, data science, and engineering teams.
Data-driven decision maker who embraces AI tools and automation to improve fraud detection and operational efficiency.