Fraud Analyst

4 weeks ago

Mumbai, India Teamware Solutions Full time

Job Description Responsible for identifying, investigating, and preventing fraudulent activities across banking products and digital platforms. The role involves analyzing financial information to support commercial decisions and monitoring financial movements. Key Responsibilities Fraud Detection, Alert Analysis & Case Management - Review fraud alerts from surveillance systems to identify patterns, typologies, and emerging fraud schemes across payment channels (ACH, wire, card, crypto). - Conduct detailed analysis of customer profiles, behaviors, and transactions to assess fraud risk indicators. - Document findings and escalate cases for further investigation when warranted. - Collaborate with clients Fraud Risk and Compliance teams to refine monitoring scenarios and thresholds. - Recommend process enhancements and control improvements to minimize false positives and strengthen detection capability. Quality, Collaboration & Reporting - Ensure all alerts, investigations, and escalations meet quality standards and comply with documentation requirements. - Partner with investigators, compliance officers, and data analytics teams to enhance investigative outcomes. - Provide insights on fraud trends and contribute to management reports and dashboards. Qualifications & Experience - Education: Bachelor's degree required (Finance, Accounting, Criminology, Risk Management, or related preferred). - Experience: 35 years in transaction monitoring, fraud risk management, or financial crime investigations (banking, fintech, consulting/advisory). - Familiarity with digital asset / crypto transactions preferred. Technical Skills - Proficiency with transaction monitoring systems (Unit 21, Actimize, SAS AML, FIS, Oracle Mantas, or similar). - Strong Excel and data analysis skills; ability to work with large datasets and spot anomalies. - Knowledge of fraud typologies. - Understanding of fraud detection techniques (account takeover, first-party fraud, mule accounts, social engineering).

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