Senior AI/ML Fraud Analyst

Overview

• Lead design and deployment of AI/ML-based fraud detection models.
• Drive innovation in fraud strategy by applying predictive analytics, anomaly detection, and automation.
• Lead the design and deployment of AI/ML-based fraud detection models tailored for telecom fraud scenarios (e.g., SIM box, subscription fraud, roaming fraud, bypass fraud, OTT fraud, etc.).
• Manage, configure, and optimize existing Fraud Management Systems (Subex, Mobileum, WeDo, or similar).
• Analyze fraud patterns, assess risks, and develop proactive strategies for fraud prevention.
• Build, train, and maintain ML models for anomaly detection, predictive fraud scoring, and automated alerts.
• Collaborate with IT, Data Science, and Business stakeholders to integrate AI/ML solutions with fraud monitoring tools.
• Drive continuous improvement by leveraging big data analytics, machine learning algorithms, and automati...