Ramesh V Email & Phone Number

Chennai, TN, IN

India

• Conducted OFAC reviews against the SDN list to identify high-risk customers.
• Performed transaction monitoring to identify and mitigate suspicious activities, preventing money laundering and terrorist financing.
• Conducted comprehensive Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) on high-risk customers to ensure regulatory compliance.
• Performed ongoing monitoring of customer accounts to detect changes in behavior or transaction patterns, ensuring timely identification of potential risks.
• Managed group mailbox and addressed queries from internal and external stakeholders.
• Analyzed trends, patterns, and product utilization by customers to adjust threshold limits and reduce future alerted transactions.

Chennai, Tamil Nadu, India

• Monitored financial transactions to detect suspicious activities and potential money laundering schemes.
• Traced funds to verify the legitimacy of the source and ensure they were not linked to money laundering or illegal activities.
• Investigated alerted transactions using KYC, past transaction history, and online research on customers and counterparties to determine the transaction’s purpose.
• Handled complaints of unauthorized card use and managed the chargeback process.
• Conducted regular reviews of transactional data to identify anomalies and potential red flags indicative of fraud.

Chennai, Tamil Nadu, India

• Performed KYC/AML reviews for mass-market retail and corporate accounts.
• Review included CIP, client profiles, source of wealth, AML adverse media, and sanctions screening to assess customer risk.
• Validated customer images and addresses against ID proofs to ensure accuracy and prevent discrepancies.
• Conducted screening against sanctions lists, PEPs, and adverse media.
• Screened customers for negative news, facts, and sanctions using tools like LexisNexis, RDC, and public domain string searches.
• Reviewed AML/KYC regulatory requirements for all clients and analyzed transactions that appeared unusual based on the customer’s profile.