Vincent Lee
Jersey City,NJ
Summary
Senior Technical Business Analyst with over a decade of experience guiding financial services institutions on how to optimize and configure their Actimize Anti-Money Laundering and Fortent Monitor software solutions. Main area of focus is providing expertise on implementing the Actimize Suspicious Activity Monitoring (SAM) solution throughout an entire project lifecycle including gathering business requirements, mapping source system data and performing data validation in the Actimize database environment. Successfully guided multiple SAM implementations for correspondent banking involving SWIFT message data to be delivered on schedule. As a former employee of Actimize he was appointed as the lead business analyst on 2 of the first 4 client implementations to upgrade from SAM 3 to SAM 8 and was promoted to the Alert Tuning Lead for all AML-SAM implementations at NICE Actimize.
Overview
14
14
years of professional experience
Work History
Senior Technical Business Analyst
Matrix-IFS
Jersey City, NJ
11.2015 - Current
- While staffed as a consultant at the New York branch of a major UK financial institution developed 46 functional test scripts to perform quality insurance on data being loaded into 226 Actimize data attributes. Analyzed MS Excel output files of the ETL process responsible for data flow from the client’s existing customer management systems to the Actimize Staging database, identified data quality issues, provided root cause analysis reports and recommendations for resolution. Drafted business documents outlining data load procedures, data flow logic, testing methodology and IT infrastructure requirements for System Testing, Systems Integration Testing and User Acceptance Testing phases for review by senior client stakeholders. Analyzed large volumes of the client's raw SWIFT message data to identify all possible Business-As-Usual (BAU) wire payment scenarios that needed to be monitored.
- Worked closely with one of the largest global insurance providers in implementing all 3 Actimize AML modules (SAM, CDD & WLF) within a very short timeframe in order to meet a strict regulatory deadline. Provided 3 full days of RCM training to the client’s compliance team. Performed ETL data validation and alert tuning on all 3 modules.
- Performed extensive data quality and ETL testing for a SAM8 implementation for a major European bank which included implementing a Matrix-IFS proprietary advanced SWIFT message analysis & reconciliation SQL procedure to ensure maximum accuracy in identifying opposite financial organization and opposite counterparty information.
Business Analyst
NICE Actimize
New York, NY
02.2008 - 11.2015
- Promoted to Lead Tuning Analyst of the Anti-Money Laundering practice within a few months of being hired
- Worked on and successfully delivered on time 2 of the first 4 Actimize SAM 8.x implementations to ever be rolled out for financial services clients
Education
Bachelor of Science - Advanced Mathematics & Statistics
Johns Hopkins University
05.2006
Skills
- SQL Queries and Stored Procedure development
- Business requirements gathering for Actimize implementations
- Data quality testing for Actimize implementations
- Tuning assessments for Actimize implementations
- Assisting in User Acceptance Testing for Actimize implementations
- Troubleshooting client issues for Actimize implementations including but not limited to discrepancies between historical daily and monthly profiles versus data in Transactions table in UDM, malfunctioning links and alert widgets in RCM, expected alerts volume analysis versus actual alerts produced by AIS, model accuracy implementation, etc
Timeline
Senior Technical Business Analyst
Matrix-IFS
11.2015 - Current
Business Analyst
NICE Actimize
02.2008 - 11.2015
Bachelor of Science - Advanced Mathematics & Statistics
Johns Hopkins University