Shree Hari Vishnu N

Results-driven Transaction Monitoring and AML/KYC Analyst with 1 year 3 months of hands-on experience in transaction monitoring, fraud detection and prevention across high-volume P2P payment and gaming platforms. Demonstrated success in applying risk-based methodologies to identify suspicious activity, conduct customer due diligence (CDD/EDD), and perform behavioral and transactional pattern analysis — reducing false positives by 30% while maintaining 100% SLA/TAT adherence. Adept at managing end-to-end case investigations, escalating suspicious activity for SAR review, and collaborating with cross-functional teams to strengthen fraud risk assessment frameworks.

Recognized with a Star Employee Award for outstanding compliance quality and performance leadership. Actively seeking opportunities in AML/KYC and Financial Crime Operations roles.

AML/KYC Analyst at Accenture (2024-04 – 2025-08)

• Managed Level 1 (L0) rapid-response queues, evaluating high-volume daily transaction alerts to quickly clear false positives and isolate true financial crime risks.
• Conducted Level 2 (L1) deep-dive investigations, performing advanced pattern analysis to uncover complex financial crime typologies like Account Takeover (ATO), money muling networks, Chargebacks and structuring.
• Executed advanced Customer Due Diligence (CDD/EDD) on high-risk, cross-border accounts, providing structured risk briefs to senior compliance leadership to inform decision-making.
• Compiled comprehensive case files and regulatory drafts, producing detailed narratives for Suspicious Activity Reports SARs to support compliance and regulatory requirements.
• Applied real-time risk mitigation controls, initiating immediate account freezes and restrictions on compromised profiles to protect the financial ecosystem.
• Leveraged data analytics (Excel Macros & Pivot Tables) to transform raw transactional logs into concise risk summaries and operational trend reports, enhancing risk assessment processes.
• Supported onboarding waves as an SME Mentor, answering technical questions, auditing practice cases, and helping new hires adapt to live operational workflows to boost team-wide compliance accuracy.

Data Analyst Intern at Ai Variant (2023-01 – 2023-07)

• Analyzed large-scale transactional datasets using advanced statistical techniques to surface risk and compliance insights, supporting data-driven fraud risk assessment and business decision-making.
• Engineered and maintained interactive Power BI and Tableau dashboards to monitor real-time KPIs, compliance performance indicators, and operational metrics — enabling faster identification of anomalies and risk trends.
• Executed rigorous data cleaning, validation, and reconciliation workflows in MS Excel, reducing data discrepancies by ~20% and improving data integrity across compliance reporting pipelines.
• Collaborated with cross-functional teams to deliver actionable data visualizations that informed fraud risk strategies and supported compliance reporting to stakeholders.

Bachelor of Arts in Psychology – AV College of Arts, Science and Commerce (2019-09 – 2022-09)

Higher Secondary Certificate in Humanities – Kendriya Vidyalaya (2019-05)