Fraud Analyst

Job Description

Hi Connections Teamware is hiring for Fraud Analyst role Location:Mumbai Experience:2+years Notice period - Immediate JD: We are seeking a highly analytical and detail-oriented Fraud Analyst to join our Client Service Operations team. This role is critical in identifying, investigating, and preventing fraudulent activities across various banking products and digital platforms. The ideal candidate will have a strong understanding of U.S. financial regulations, fraud typologies, and data analysis tools. Analyst will perform research and analyze financial information to help company make well informed commercial decisions, conduct research, and monitor financial movements. Key Responsibilities Fraud Detection Alert Analysis & Case Management Review fraud alerts generated by surveillance systems to identify patterns, typologies, and emerging fraud schemes across various payment channels (ACH, wire, card, crypto, etc.) Conduct detailed analysis of customer profiles, behaviors, and transactions to assess fraud risk indicators Document findings clearly, escalating cases for further investigation when warranted. Collaborate with the client?s 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 (concentration in Finance, Accounting, Criminology, Risk Management, or related field preferred). Experience: 3?5 years of experience in transaction monitoring, fraud risk management, or financial crime investigations, ideally within banking, fintech, or consulting/advisory firms. 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: Familiarity with fraud typologies. Understanding of fraud detection techniques (account takeover, first-party fraud, mule accounts, social engineering schemes). Certifications (preferred): CAMS, CFE, CFCS, or similar fraud/AML credential. If interested share cv to [email protected]