Role Overview We are seeking a Product Manager to lead the development of an AI-powered decision-making intelligence platform for detecting and preventing fraudulent financial transactions using telecom data signals.This role sits at the intersection of telecom, financial services, and advanced analytics.
Key Responsibilities • Define product vision, roadmap, and GTM strategy for fraud detection platform leveraging telco data (CDRs, device, network signals) • Translate business needs into product requirements (PRDs, user stories, acceptance criteria) • Collaborate with data science, engineering, and fraud SMEs to build scalable, real-time decisioning systems • Drive integration with banking/payment ecosystems (cards, UPI, wallets, etc.) • Prioritize features balancing business impact, regulatory constraints, and technical feasibility • Define KPIs (fraud detection rate, false positives, latency, model performance) and track outcomes • Engage with stakeholders (Telco, Banking partners, Risk teams) to align on use cases and adoption • Ensure compliance with data privacy, telecom regulations, and financial risk frameworks Required Qualifications • 8-12+ years in Product Management, preferably in FinTech, Fraud, or Telco Analytics • Strong understanding of fraud detection systems (transaction monitoring, AML, 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 Preferred • Experience with AI/ML-based fraud platforms • Exposure to Tier-1 telco or banking ecosystems • Knowledge of regulatory frameworks (KYC, AML, GDPR, etc.)
Role Overview We are seeking a Product Manager to lead the development of an AI-powered decision-making intelligence platform for detecting and preventing fraudulent financial transactions using telecom data signals.This role sits at the intersection of telecom, financial services, and advanced analytics.
Key Responsibilities • Define product vision, roadmap, and GTM strategy for fraud detection platform leveraging telco data (CDRs, device, network signals) • Translate business needs into product requirements (PRDs, user stories, acceptance criteria) • Collaborate with data science, engineering, and fraud SMEs to build scalable, real-time decisioning systems • Drive integration with banking/payment ecosystems (cards, UPI, wallets, etc.) • Prioritize features balancing business impact, regulatory constraints, and technical feasibility • Define KPIs (fraud detection rate, false positives, latency, model performance) and track outcomes • Engage with stakeholders (Telco, Banking partners, Risk teams) to align on use cases and adoption • Ensure compliance with data privacy, telecom regulations, and financial risk frameworks Required Qualifications • 8-12+ years in Product Management, preferably in FinTech, Fraud, or Telco Analytics • Strong understanding of fraud detection systems (transaction monitoring, AML, 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 Preferred • Experience with AI/ML-based fraud platforms • Exposure to Tier-1 telco or banking ecosystems • Knowledge of regulatory frameworks (KYC, AML, GDPR, etc.)
