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Webbing

Mobile Fraud Analyst

Webbing

. Monitor and analyze mobile traffic to identify suspicious activity, abnormal usage patterns, and potential fraud.

Posted 10/11/2026full-timeBucharest • RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Mobile/Telecom Fraud Analysis, with a strong ability to investigate and mitigate fraud incidents through data analysis and collaboration with cross-functional teams. Proficient in developing and improving fraud detection mechanisms while maintaining a high level of attention to detail and problem-solving skills.

Highest-signal resume keywords
Mobile/Telecom Fraud AnalysisCDR AnalysisSQL Data AnalysisFraud Detection SystemsVoice and SMS Fraud Investigation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Fraud PreventionTelecom Usage Data AnalysisAutomated Fraud DetectionData AnalysisProblem-SolvingAttention to DetailRoot-Cause AnalysisTelecom Charging Systems KnowledgeHigh-Volume Traffic AnalysisFraud Incident Management
Soft Skills
Analytical SkillsInvestigative SkillsOwnershipCommunication Skills
Tools & Technologies
AI ToolsPythonPower BITelecom Fraud Management SystemsTAP Files
Industry Keywords
Mobile Network OperatorMVNORoaming ProviderTelecommunicationsInternational Roaming Fraud

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Monitor and analyze mobile traffic to identify suspicious activity, abnormal usage patterns, and potential fraud.
  • Investigate fraud cases across Voice, SMS, Data, Roaming, SIM/eSIM, and international traffic.
  • Identify telecom-specific fraud patterns, including unusual calling behavior, high-volume traffic, suspicious destinations, SIM misuse, traffic pumping, and other fraudulent activities.
  • Analyze CDRs and telecom usage records to identify anomalies and suspicious behavior.
  • Investigate fraud incidents and identify the root cause, affected subscribers, SIMs, devices, networks, and destinations.
  • Assess the financial impact and exposure of fraud incidents.
  • Define, maintain, and continuously improve fraud detection rules, thresholds, alerts, and monitoring mechanisms.
  • Recommend and coordinate preventive actions, including blocking or restricting suspicious subscribers, SIMs, destinations, networks, or traffic patterns.
  • Work closely with Network, Roaming, Operations, Product, Finance, and other relevant teams during fraud investigations.
  • Track fraud trends and proactively identify new risks, vulnerabilities, and fraud patterns.
  • Prepare reports and management-level summaries regarding fraud incidents, trends, financial exposure, and preventive actions.

Requirements

What you’ll need
  • 3+ years of experience in Mobile/Telecom Fraud Analysis, Fraud Prevention, or a similar telecom fraud role.
  • Previous fraud-related experience within a Mobile Network Operator (MNO), MVNO, roaming provider, or telecommunications company – mandatory.
  • Strong understanding of mobile telecommunications, cellular traffic, and roaming environments.
  • Experience investigating Voice and SMS fraud.
  • Knowledge of CAMEL, VoLTE, Diameter, OCS, and telecom charging systems.
  • Experience working with CDRs and telecom usage data.
  • Strong SQL and data analysis skills.
  • Ability to analyze large volumes of traffic and identify abnormal patterns and anomalies.
  • Strong analytical, investigative, and problem-solving skills.
  • Ability to independently manage fraud investigations from detection through root-cause analysis and mitigation.
  • High attention to detail, ownership, and ability to respond quickly to critical fraud incidents.
  • Experience working with AI tools (ChatGPT, OpenAI API, Claude, Gemini, etc.).
  • Strong English communication skills.
  • Experience with international roaming fraud and wholesale telecom environments.
  • Experience working with TAP files and roaming records.
  • Familiarity with IMSI, ICCID, MSISDN, IMEI, MCC/MNC, VPLMN, and HPLMN.
  • Experience working with Telecom Fraud Management Systems (FMS).
  • Experience with Python, Power BI, or other analytical and automation tools.
  • Experience developing automated fraud detection, monitoring, and alerting mechanisms.

Benefits

Comp & perks
  • An exciting and challenging workplace with great skill and knowledge development opportunities.
  • The opportunity to join a team of highly professional specialists in an international environment.
  • The opportunity for professional development within a reputable international innovative and growing company.
  • Meal Vouchers.
  • Medical insurance.