Product Manager/Senior Product Manager - Fraud Prevention

Description :

Primary Responsibilities :

- Own the end-to-end product roadmap for UPI fraud prevention, risk control, and transaction security.

- Design and implement real-time fraud detection systems, rule engines, velocity checks, and anomaly

monitoring.

- Analyze UPI transaction data to identify fraud patterns, emerging MO trends, mule accounts, and behavioral anomalies.

- Work with data science to build or refine risk scoring models, fraud signals, and machine-learning based detection.

- Drive root-cause analysis on fraud incidents and implement corrective product solutions to reduce fraud losses.

- Ensure product compliance with NPCI guidelines, RBI instructions, UPI safety frameworks, and partner bank

requirements.

- Collaborate closely with engineering, operations, risk teams, and banks to deliver scalable fraud control

features.

- Deliver PRDs/BRDs, dashboards, and performance insights for fraud KPIs such as Fraud Rate, Loss %, and False Positives.

- Prioritize feature development based on fraud risk impact, user experience, and business goals.

- Monitor post-launch impact of fraud-control features and iterate rapidly using data-driven insights.

Skills and Requirements :

- Strong understanding of UPI systems, PSP/TPAP workflows, NPCI APIs, and digital payments architecture.

- Experience in fraud prevention, AML, transaction monitoring, risk management, and financial crime systems.

- Ability to analyze large transaction datasets using SQL, dashboards (Redash), and fraud analytics tools.

- Working knowledge of risk scoring models, rule engines, behavioral biometrics, device binding and velocity checks.

- Ability to write clear PRDs, workflows, risk rules, and detailed product specifications.

- Strong product sense with the ability to balance risk control, customer experience, and business impact.

- Excellent problem-solving, stakeholder management, and decision-making skills in high ambiguity environments.

- Technical familiarity with APIs, data pipelines, microservices, and real-time event processing systems.

- Strong communication skills with a detail-oriented, risk-first mindset and a bias for execution.