About this role

Own the product roadmap for fraud prevention, detection, and Trust & Safety capabilities.
Build solutions for identifying and preventing Account Takeovers (ATO), SIM Swap fraud, identity fraud, and transaction fraud.
Develop real-time transaction monitoring and fraud decisioning capabilities.
Work with Data Science and Engineering teams to implement rule-based and ML-driven fraud detection models.
Define fraud signals, thresholds, risk scores, alerts, and automated actions.
Analyze fraud patterns, customer behaviour, false positives, and emerging attack vectors.
Balance fraud prevention, customer experience, operational efficiency, and financial risk.
Define product requirements, success metrics, and experimentation strategies.
Partner with Fraud Operations, Risk, Compliance, Engineering, and Analytics teams to improve fraud controls continuously.
Monitor product performance through metrics such as fraud loss, detection rate, false-positive rate, approval rate, and customer friction.

4+ years of Product Management experience.
Strong experience in Fraud, Trust & Safety, Risk, Payments, FinTech, Banking, or Financial Services.
Hands-on understanding of fraud prevention and transaction monitoring systems.
Experience working with real-time financial transaction data.
Understanding of rules engines, risk scoring, and ML-based fraud models.
Experience dealing with fraud scenarios such as ATO, SIM Swap, payment fraud, identity fraud, or suspicious transaction behaviour.
Strong analytical and data-driven product decision-making skills.
Ability to work closely with Engineering, Data Science, Risk, Compliance, and Operations stakeholders.

Product Manager