Transforming complex payment data into actionable insights with 8 years of expertise in SWIFT messaging, transaction analysis, and financial compliance.
With 7 years of specialized experience in SWIFT payment systems, I help financial institutions optimize their cross-border payment operations through data-driven insights and advanced analytics.
My expertise spans the full payment lifecycle from transaction monitoring and reconciliation to compliance analytics and process optimization. I've worked extensively with MT and MX message formats, helping organizations navigate the ISO 20022 migration while maintaining operational excellence.
I'm passionate about uncovering patterns in complex payment data and building solutions that reduce costs, improve efficiency, and ensure regulatory compliance.
Here are some of my recent projects that showcase my expertise in SWIFT payment analysis and data-driven problem solving.
Reducing transaction failures through data-driven insights
Client experienced 12% payment failure rate causing customer dissatisfaction and operational costs.
Analyzed 500K+ MT103 transactions to identify failure patterns. Built predictive model to flag high-risk payments before processing.
• Reduced failure rate from 12% to 4.5%
• Saved $2.3M annually in processing costs
• Improved customer satisfaction by 35%
Building automated anomaly detection system
Manual transaction monitoring was slow and missed suspicious patterns, creating compliance risks.
Developed real-time dashboard with ML-based anomaly detection for SWIFT messages. Integrated automated alerts for compliance team.
• Detected 89% of anomalies in real-time
• Reduced investigation time by 60%
• Zero compliance violations in 18 months
Assessing migration impact and data quality
Bank needed to assess readiness for ISO 20022 migration and understand impact on existing processes.
Analyzed MT to MX message transformation patterns, identified data gaps, and created migration roadmap with risk assessment.
• Identified 200+ data quality issues early
• Created testing framework for 50K+ scenarios
• Successful migration with 99.7% accuracy
Optimizing routing and reducing costs
Inefficient payment routing led to high correspondent banking fees and slow settlement times.
Analyzed MT202 routing patterns across 150 corridors. Built optimization model to recommend best routing paths based on cost, speed, and reliability.
• Reduced average routing cost by 28%
• Improved settlement speed by 40%
• $4.5M annual cost savings
Identifying suspicious transaction patterns
Traditional rule-based AML systems generated too many false positives, overwhelming compliance teams.
Developed machine learning models to detect complex money laundering patterns in SWIFT transactions using behavioral analytics and network analysis.
• Reduced false positives by 65%
• Identified 23 previously undetected risks
• Improved investigation efficiency by 50%
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