Credit Card Fraud Detection Analyst

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About the Role:

We are seeking experienced and analytical Credit Card Fraud Detection Analysts to join our Risk & Fraud Analytics team. In this role, you will be responsible for detecting, investigating, and mitigating fraudulent activities in real time, using advanced data analytics and fraud prevention tools.

This is a high-impact position requiring a keen eye for detail, deep understanding of transaction behavior, and hands-on experience with fraud detection systems. If you are passionate about fighting financial crime using data, we want to hear from you.

Key Responsibilities

• Lead end-to-end fraud detection and investigation efforts using advanced analytics and fraud management tools
• Design and implement fraud detection models using machine learning and statistical techniques to reduce false positives
• Monitor real-time transactions for unusual patterns and trigger appropriate alerts and interventions
• Analyze large volumes of transaction data to uncover emerging fraud trends and behavioral anomalies
• Develop and fine-tune rule-based fraud detection strategies in platforms like Actimize, Falcon, or SAS
• Collaborate with risk, compliance, and operations teams to escalate and resolve fraud cases promptly
• Conduct root cause analysis on confirmed fraud incidents to improve prevention controls
• Generate detailed reports and dashboards on fraud metrics, trends, and KPIs for leadership and compliance teams
• Ensure compliance with regulatory guidelines such as RBI, PCI-DSS, and other financial fraud frameworks
• Mentor junior analysts, share best practices, and contribute to building a robust fraud detection framework.

Required Skills & Qualifications:

• 5 -10 years of experience in credit card fraud detection, risk analytics, or fraud operations
• Strong hands-on experience with fraud detection platforms (e.g., Actimize, Falcon, SAS FM)
• Proficiency in SQL for data extraction and analysis
• Working knowledge of Python or R for fraud modeling and anomaly detection
• Experience building or refining rule-based detection systems
• Familiarity with machine learning techniques used in fraud analytics
• Strong analytical thinking and pattern recognition abilities
• Experience with chargeback analysis and dispute resolution processes.

Business Verticals:

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- Banking and Financial Services Industry (BFSI)

- Insurance

- Telecom

- Oil & Gas

- Utilities

- Healthcare

- Supply Chain / Logistics

Job REF Code:

CCFDA_0925

Email ID:

spectrumconsulting1985@gmail.com

Please Email Your CV with Job REF Code [ CCFDA_0925 ] as subject