Susan Noto Email & Phone Number

Chicago, IL, US

Waltham, Massachusetts

New York

• Direct oversight of team of nine individuals tasked with identifying process inefficiencies/pain points, developing transformational improvement plans and driving to completion.
• Collaborated with business lines to identify mutually beneficial process improvements.
• Business oversight of KYC technology enhancements and process automation.

Chicago IL

• Liaison & translator between Business and Technology
• Subject matter expert for AML transaction monitoring system – system complexity, data sources, functionality, transformation logic, and system interdependencies.
• Key AML resource for large transaction monitoring software implementation.
• Conducted tuning of transaction monitoring detection logic by using statistically valid methodology to determine settings.
• Conducted alert quality analysis in order to assess health and relevancy of existing transaction monitoring detection scenarios. Determined cause of ineffectiveness (i.e. data issue, design issue, or behavior not.
• Collaborated with Data Governance team to create an AML source certification model in order to obtain independent confirmation of the accuracy of data sources used for transaction monitoring.

Minneapolis, Minnesota, United States

• Managed Sr. Business Systems Analyst, providing work direction, guidance and setting team priority.
• Contributed to strategic direction of AML by influencing technology initiatives in order to improve efficiency and enhance system capabilities.
• Reviewed and approved all design and transformation logic for AML transaction monitoring system
• Created and executed test cases based on in-depth understanding of system complexity
• Reviewed completed risk assessments to ensure rule coverage within transaction monitoring system was appropriate and sufficient according to risks identified
• Worked closely with AML Operations Manager to assess trends related to client behavior. Determined if rule coverage was sufficient and appropriate according to changing landscape of client base.

• Evaluated health of Surveillance Trade Review rules – compiled statistics, identified trends, uncovered data/ logic issues, tested threshold and parameter settings for effectiveness

• Data analysis – extracted and analyzed data sets for investment performance validation, isolation of input errors, and determining sequence of events
• System analysis – determined the best way to process new and existing investment strategies based on system functionality/capability