Delhi, India
I am an aspiring Fraud & AML Analyst with hands-on exposure to data validation, anomaly detection, and compliance processes through professional experience and freelance projects. Skilled in KYC reviews, risk assessment, due diligence (CDD/EDD), and investigative analysis, I am eager to contribute to financial crime prevention and fraud mitigation initiatives. During my tenure as a Process Executive – Data at Cognizant, I developed a strong foundation in fraud detection, customer data review, and compliance documentation, while investigating potential irregularities and supporting regulatory reporting. Additionally, my freelance experience at UTest enhanced my analytical, detail-oriented, and problem-solving skills, enabling me to detect patterns, inconsistencies, and anomalies effectively. I am passionate about leveraging data-driven insights to identify and mitigate fraud risks, and I am actively seeking opportunities in Fraud Analysis, AML Compliance, and Financial Crime Prevention. My objective is to contribute to organizations like Accertify, where innovation in fraud detection meets regulatory compliance, while continuously learning and growing as a professional in the financial crime domain. Key Skills: AML, KYC, Fraud Detection, Risk Assessment, CDD/EDD, SAR Reporting, Data Analysis, Investigative Analysis, Compliance Awareness, MS Excel, CRM Tools, Pattern Recognition
Reviewed and validated sensitive customer and claim-related data to identify potential fraudulent activity. Conducted basic KYC checks, risk assessments, and due diligence (CDD/EDD) for flagged accounts. Investigated anomalies in data and documented findings for fraud reporting and compliance purposes. Assisted the team in preparing reports and maintaining adherence to AML/fraud regulations. Developed strong analytical, detail-oriented, and investigative skills applicable to fraud detection roles. Collaborated with cross-functional teams to understand emerging fraud patterns and improve detection strategies. ✅ Assisted in verifying and reconciling discrepancies across multiple data sources to reduce potential financial risk. ✅ Supported internal audits and compliance checks, contributing to stronger fraud prevention frameworks. ✅
Executed comprehensive data integrity and anomaly analysis across multiple digital platforms to detect potential irregularities and suspicious patterns. Leveraged critical thinking and investigative skills to identify inconsistencies, contributing to risk mitigation and fraud prevention efforts. Documented and reported findings in a structured, compliance-aligned manner to enhance operational transparency. Developed a strong foundation in analytical problem-solving, pattern recognition, and detail-oriented review, directly applicable to fraud detection and AML investigations