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 automation.
• Mentor and guide fraud analysts in using advanced tools, AI techniques, and domain knowledge.
• Ensure compliance with regulatory standards and industry best practices in fraud risk management.
• Routinely respond to alerts and reports generated by Fraud Management applications and other platforms
• Conduct regular system access control rights on key systems such as HSS, SDP, AIR, VS, CRM, Billing,ERP, MPLS etc and check for abnormalities on the activities
• Evaluation/testing of new products, services & systems and assessment of Fraud risks prior to launch.
• Regular and random examination and monitoring of audit logs
• Ensure effective audit trails on all provisioning platforms Segregation of Fraud from bad debt
• Fine-Tuning of the Fraud Management Systems and related controls to ensure the results of the system are accurate and displaying the accurate picture on results Analyse anomalies in report findings, identify root causes and promote the resolution of issues
• Foresight for visioning interlinked areas of fraud & in accordance; Planning & Implementation of preventive measures for assessment of the damage; damage-control strategy & recommendations.
• Maintain a comprehensive working knowledge of risks associated with services & products offered
• Suggesting effective internal controls by providing guidance and advice to any unit where loopholes identified could result in fraud
• Provide readable, practical and enforceable recommendations to Billing, Credit Control, Provisioning, Sales, Contact Center and Switching to prevent illegal provisioning, suggested feedback for fraud related cases or concerns
• Work in Shifts on 24x7x365 term basis

Business Impact

• Protect company revenue by reducing fraud-related losses.
• Build scalable AI/ML frameworks to future-proof fraud management.
• Strengthen customer trust by minimizing service impact from fraudulent activities.

Costs & Profitability

• Costs to be borne by Fraud Management Department under Group Finance.

Problem Solving

• Detect new and complex fraud schemes using AI/ML.
• Translate business fraud risks into technical AI/ML solutions.
• The role holder will be required to deal with a wide range of technical and business issues pertaining to control configuration and actual fraud detection and prevention scenarios. The role holder is required to have necessary technical, analytical and problem-solving skills. He should be able to analyse root causes of problems and suggest appropriate methods of solutions and implement the same within stringent timelines
• Independently resolves issues in relation to day-to-day activities. The role holder will be required to deal with a wide range of business and technical issues pertaining to risk assessment, fraud detection, and investigation and prevention scenarios.

Planning & Organizing

• Plan AI/ML model lifecycle (design, training, validation, deployment).
• Coordinate with IT, Data Science, and Risk teams to implement fraud solutions.
• Work within the timelines defined in the KPIs to ensure effective FM operations through timely Fraud detection and effective prevention wherever possible.
• In terms of newly identified risks, use a Risk management approach to evaluate its criticality, and accordingly prioritize the control design and implementation. Ensure as far as possible, that FM is not a showstopper for any business enhancement
• A strong level of planning and organizing is required within the department to work on deadlines and close the open issues of Fraud; at the same time not to affect the quality of closure.