Description

You will define the product vision, roadmap, and go-to-market strategy for a fraud detection platform leveraging telco data. You translate business needs into product requirements and drive integration with banking and payment ecosystems.

Responsibilities

• Define product vision, roadmap, and GTM strategy for fraud detection using CDRs, device, and network signals.
• Translate business needs into product requirements including PRDs, user stories, and acceptance criteria.
• Collaborate with data science, engineering, and fraud SMEs to build scalable, real-time decisioning systems.
• Drive integration with banking and payment ecosystems such as cards, UPI, and wallets.
• Define KPIs like fraud detection rate, false positives, and latency, and track outcomes against business impact.

Required Skills

• 8–12+ years in Product Management, preferably in FinTech, Fraud, or Telco Analytics.
• Strong understanding of fraud detection systems, transaction monitoring, AML, and risk scoring.
• Experience with data-driven products, APIs, and real-time decisioning systems.
• Familiarity with telecom data (CDRs, network events) and financial transaction flows.
• Proven ability to lead cross-functional teams in complex enterprise environments.
• Experience with AI/ML-based fraud platforms.

Preferred Skills

• Exposure to Tier-1 telco or banking ecosystems.
• Knowledge of regulatory frameworks including KYC, AML, and GDPR.

Key Skills

Education

Any Gradute