AML Transaction Monitoring & Pattern Detection
Lead comprehensive AML transaction monitoring programs across all business verticals. Develop and implement advanced pattern detection algorithms to identify suspicious transaction patterns, layering activities, and structuring behaviors. Design automated alert generation systems with intelligent threshold calibration to optimize detection rates while minimizing false positives. Conduct periodic effectiveness reviews of monitoring scenarios and update detection rules based on emerging typologies and regulatory guidance. Collaborate with Compliance and Legal teams for suspicious transaction reporting (STR) preparation and regulatory submissions
Fraud Analytics & Anomaly Detection
Establish robust fraud analytics frameworks for real-time and batch fraud detection across Insurance claims, Investment transactions, Digital Lending applications, Payment transactions, and Super App activities. Develop machine learning models for anomaly detection including unusual transaction patterns,
account takeover attempts, identity fraud, and application fraud. Create behavioral profiling systems to identify deviations from normal customer patterns and flag high-risk activities. Implement automated fraud scoring mechanisms with energetic risk rating based on multiple parameters. Prepare detailed fraud trend analysis reports and collaborate with business units on fraud prevention strategies
Operational Risk Dashboards & Automation
- Design and deploy comprehensive operational risk dashboards providing real-time visibility into risk metrics, control effectiveness, and emerging risk trends. Automate recurring risk reporting processes including KRI tracking, control testing results, incident monitoring, and risk event analysis. Develop self-service analytics capabilities enabling business units and risk teams to access relevant risk data and insights on demand. Implement predictive analytics models to ide
📌 Assistant Risk Analyst (Maharashtra)
🏢 Aditya Birla Capital
📍 Maharashtra
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