Fraud Investigation Analyst

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Vonage

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Telecommunications • SaaS • Artificial Intelligence

Vonage is a global leader in communications services, offering a robust suite of tools including Communications APIs, Unified Communications, and Contact Centers solutions. The company empowers businesses to reach and engage customers across various channels such as messaging, voice, and video, facilitating superior customer experiences. Vonage integrates advanced technologies like AI and automation to enhance operational efficiency and customer satisfaction, supporting industries ranging from healthcare to retail with tailored communications solutions. As a testament to its capabilities, Vonage is consistently recognized as a leader in Communications Platform as a Service (CPaaS).

1001 - 5000 employees

Founded 2001

📡 Telecommunications

☁️ SaaS

🤖 Artificial Intelligence

💰 $225M Post-IPO Debt on 2014-08

📋 Description

• Proactively detect, investigate and prioritize fraud incidents across Vonage’s communication platforms • Monitor customer accounts and traffic usage to identity anomalies, suspicious behavior, and emerging fraud patterns • Conduct deep dive analysis and make actionable recommendations to support fraud prevention, detection, and mitigation strategies • Research and validate suspected cases of traffic abuse, account compromise, or policy violations • Collaborate with cross-functional teams (products, engineering, compliance, customer support) to strengthen fraud controls and prevent recurrence • Provide timely incident response for urgent fraud activity, ensuring rapid containment and effective communication to stakeholders • Sharing fraud insights and trends with leadership to inform strategy and improve customer trust

🎯 Requirements

• 5+ years of experience in telecommunications fraud investigation (SMS, Voice) or high-tech/transaction-heavy industries (telco, fintech) • Degree-level education or equivalent professional experience in fraud, risk, or data-related fields • Strong expertise in fraud prevention methodologies and regulatory practices, including AML, KYC, and transaction monitoring • Hands-on experience with fraud detection platforms, SQL, Excel, and data analytics tools; familiarity with AI/ML-based detection solutions • Proven track record of analyzing large, complex datasets and delivering actionable recommendations • Strong organizational and multitasking skills with excellent attention to detail • Effective stakeholder management, with the ability to influence cross-functionals partners and present findings clearly to both technical and business audiences • Experience working in distributed, global teams and adapting to a dynamic, fast-paced environment • Strong written and verbal communication skills.

🏖️ Benefits

• Flexible work arrangements • Professional development