Fraud Analyst

About the Role

Teamware Solutions is seeking a highly analytical and detail-oriented Fraud Analyst to join our Client Service Operations team in Mumbai. This crucial role focuses on the identification, investigation, and prevention of fraudulent activities across various banking products and digital platforms. The ideal candidate will possess a strong understanding of U.S. financial regulations, common fraud typologies, and proficient data analysis tools.

Key Responsibilities

Fraud Detection, Alert Analysis & Case Management

• Review fraud alerts generated by surveillance systems to identify patterns, typologies, and emerging fraud schemes across payment channels including ACH, wire, card, and crypto.
• Conduct detailed analysis of customer profiles, behaviors, and transactions to assess fraud risk indicators.
• Document findings clearly and escalate cases for further investigation as needed.
• Collaborate with client Fraud Risk and Compliance teams to refine monitoring scenarios and thresholds.
• Recommend process enhancements to minimize false positives and strengthen detection capabilities.

Quality, Reporting & Process Improvement

• 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.
• Suggest process improvements and contribute to overall risk mitigation strategies.

Qualifications & Experience

• A Bachelor's degree is required, with a concentration in Finance, Accounting, Criminology, Risk Management, or a related field being preferred.
• 3-5 years of experience in transaction monitoring, fraud risk management, or financial crime investigations, with a preference for experience within banking, fintech, or consulting/advisory firms.
• Familiarity with digital assets and crypto transactions is a plus.

Technical Skills & Knowledge

• Proficiency with transaction monitoring systems such as Unit 21, Actimize, SAS AML, FIS, Oracle Mantas, or similar platforms.
• Strong Excel and data analysis skills, with the ability to work with large datasets and identify anomalies.
• Knowledge of various fraud typologies and detection techniques, including account takeover, first-party fraud, mule accounts, and social engineering schemes.
• Relevant certifications such as CAMS, CFE, or CFCS are considered an advantage.