Senior Fraud Analyst

Overview

Drive innovation in fraud strategy by applying predictive analytics, anomaly detection, and automation.

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.

Collaborate with IT, Data Science, and Business stakeholders to integrate AI/ML solutions with fraud monitoring tools.

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

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

Work in Shifts on 24x7x365 term basis

Business Impact

Protect company revenue by reducing fraud-related losses.

High level impact on the operational role that ensures timely detection of fraud, and corrective action is taken for prevention or minimization of the impact

Strengthen customer trust by minimizing service impact from fraudulent activities.

Problem Solving

Detect new and complex fraud schemes using AI/ML.

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 tohave 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 Frauddetection 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.

SKILLS

Technical Skills

Strong analytical and investigative skills with ability to interpret large datasets.

Strong knowledge of telecom networks (GSM, LTE, 5G, roaming, billing, interconnect, etc.) .

Hands-on experience with Fraud Management Systems (FMS) such as: Subex ROC , Mobileum , WeDo , Neural Technologies , or equivalent.

Ability to configure detection rules, manage alerts, and optimize fraud detection systems.

Proficiency in business process analysis and translating fraud risk into actionable controls.

Expert knowledge of telecom OSS and BSS, especially MSS, IN nodes (HXC, CCN, SDP VS etc), HLS, PGW, SGW, GGSN, DSL Fiber, PSTN networks, SMSC, provisioning systems, call and traffic handling scenarios, Mediation and Billing systems functioning etc.

Non-Technical Skills

Excellent interpersonal and communication skills; confident ability to negotiate and convince people

Strategic thinking & innovation

Leadership and mentoring