Key Responsibilities

▪️Analyze customer, transaction, and compliance data to identify risk patterns, typologies, and emerging threats

▪️Develop and optimize predictive and analytical models for AML, sanctions screening, and customer risk assessment

▪️Perform scenario and rule threshold reviews to improve detection effectiveness

▪️Build and enhance Customer360° dashboards and compliance MI reporting

▪️Leverage AI/ ML techniques for investigations, sector analysis, and ownership-chain tracing

▪️Support compliance technology initiatives, system enhancements, and regulatory change management

▪️Deliver timely, accurate reports and insights for senior management and regulatory assurance

Required Experience & Skills

▪️Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (Master’s preferred)

▪️6+ years of experience in Data Analytics or risk modeling within financial services

▪️3+ years of hands-on experience in Compliance Data Science

▪️Strong knowledge of AML, sanctions, TBML, and regulatory frameworks

▪️Proficiency in Python, SAS, R, SQL and data visualization tools (PowerBI, SAS VA)

▪️Experience with compliance technology platforms and large datasets