Webbing
Webbing
Webbing provides global mobile data connectivity and IoT services for businesses. Its network spans more than 600 mobile carriers across over 200 countries, while its SIM technology and management platform help organizations connect and oversee fleets of devices. Enterprise customers can monitor data usage in real time to support cost control and compliance. The company operates in telecommunications and cybersecurity.

Mobile Fraud Analyst – Bucharest Hybrid

Investigate and prevent telecom fraud across Webbing’s global MVNO connectivity and IoT services. Analyze traffic, roaming, SIM, voice, SMS, and data activity for anomalies.

Description

  • Monitor mobile traffic for suspicious activity, unusual usage, and potential fraud.
  • Investigate cases involving voice, SMS, data, roaming, SIM/eSIM, and international traffic.
  • Detect telecom fraud patterns such as unusual calling, high-volume traffic, suspicious destinations, SIM misuse, and traffic pumping.
  • Analyze CDRs and telecom usage records to find anomalies and suspicious behavior.
  • Determine incident causes and identify affected subscribers, SIMs, devices, networks, and destinations.
  • Assess the financial impact and exposure of fraud incidents.
  • Develop and improve fraud detection rules, thresholds, alerts, and monitoring processes.
  • Recommend and coordinate actions to block or restrict suspicious subscribers, SIMs, destinations, networks, or traffic patterns.
  • Coordinate fraud investigations with Network, Roaming, Operations, Product, Finance, and other teams.
  • Monitor fraud trends and identify emerging risks, vulnerabilities, and patterns.
  • Report on fraud incidents, trends, financial exposure, and preventive actions.

Requirements

  • At least three years of experience in mobile or telecom fraud analysis, fraud prevention, or a similar role.
  • Prior fraud-related work at a mobile network operator, MVNO, roaming provider, or telecommunications company is required.
  • 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 traffic volumes and identify abnormal patterns and anomalies.
  • Strong analytical, investigative, and problem-solving skills.
  • Ability to manage fraud investigations independently, from detection through root-cause analysis and mitigation.
  • Strong attention to detail, ownership, and ability to respond quickly to critical fraud incidents.
  • Experience using AI tools such as ChatGPT, OpenAI API, Claude, or Gemini.
  • 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 with Telecom Fraud Management Systems (FMS).
  • Experience with Python, Power BI, or other analytics and automation tools.
  • Experience developing automated fraud detection, monitoring, and alerting mechanisms.

Benefits

  • A challenging workplace with opportunities to develop skills and knowledge.
  • Join a team of professional specialists in an international environment.
  • Professional development at an established, innovative, growing international company.
  • Meal vouchers.
  • Medical insurance.

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