Implementing various scenarios /rules using any of the AML Vendor tools stated.
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Managing client projects and internal stakeholders
Leading projects for implementation of AML or fraud compliance for banks
Desired Candidate Profile
Strong knowledge of AML or fraud analytics with at least 4-6 years of relevant experience in financial crime analytics; additional exposure to customer segmentation, threshold analysis.
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience databases (SQL etc), R programming
Knowledge of statistics and experience using statistical packages for analyzing datasets
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Very strong experience in SQL, R extensively;
Hands-on experience in data mining/analytics and familiarity with the regulatory environment