Chu Ming Chen Email & Phone Number

New York, Ny, Us

Chiyoda-Ku, Tokyo, Jp

Paris, Fr

Provided tactical mitigation and strategic solutions to address gaps in Transaction Monitoring systems and satisfy DFS 504/SR-11 requirements.Designed and implemented AML Model Validation and Transaction Monitoring Optimization (TMO) methodologies including Risk Coverage Assessment, Customer Segmentation, Rule Testing, Initial Threshold Setting, Production Threshold Tuning, and ATL/BTL Sampling.Designed, tested and developed Country Derivation and External Entity (aka Entity Consolidator) engines for Correspondent Bank customers' customers.Identified and prioritized timelines, milestones and deliverable for AML rule testing and tuning projects. Lead effort to perform Model Validation and Threshold Tuning against profile-based and rule-based Actimize Detection Rules: Security Blanket, BLU, SAM-R and SAM-C Correspondent Banking.Lead effort to perform Rule Testing against custom-build detection logic for Correspondent Banking and Capital Markets rules. Testing steps include “Blind Calculation”, “Test Cases and Control Data”, and SQL rule development for UAT.Defined monthly and quarterly key performance indicator (KPI) for ongoing model validation process.Created model validation documents for Correspondent Banking and Capital Market Transaction Monitoring models. Addressed Independent Model Review and Internal Audit findings.Defined monitoring requirement to integrate in-house Blockchain payment solution to existing AML platform. Cultivated "Effective Challenge" in Model Validation process.

London, Gb

Worked with cross-functional & cross-regional teams on Global Transaction Monitoring tactical & strategic solutions.Managed tuning team to support end-to-end Transaction Monitoring systems (Mantas, Norkom, and Actimize) Tuning and Optimization; monitored project progress; provided direction & guidance to team members.Led effort to migrate NORKOM based detection scenarios to Mantas FCCM; Managed resources & layout migration milestones, which aligned project deliverables & go-live dates to Management’s vision & expectations.Served as liaison among Business Information Risk Officer, Information Security Risk Officer & IT to setup analytical environment, communicated data privacy policies, & assisted access management for Analytic and UAT environments; served as liaison btw. AML Compliance and IT to review & sign off BRD & FRD.Conducted project planning by identify tasks, milestones, schedules & resources; provided status update & identified risks and issues to FCC executives and project stakeholders.Implemented end-to-end AML model validation process which included test cases for Model development, & threshold Implementation steps.Identified, escalated, & mitigated model deficiencies/defects in TM system; followed up open items & provided Management Responses to Independent Model Review & Audit teams.Planned & executed UAT, regression, production deployments to validate & sign off AML scenarios/thresholds.Conducted multiple full cycles of TMO Processes for Correspondent Banking, Trade Finance, Global Private Banking (upgraded Norkom 5.6 to 6.5), Retail Banking.Designed and implemented in-house TM solution complement to COS monitoring solution which reduced AML Model go-live cycle from 8 months to 3 months.Automated Tuning Process by utilizing Spotfire and Teradata; utilized Statistical & Data analysis techniques to implement ATL & BTL sampling process to control & mitigate AML risk; led Alert Triage enhancement that reduced overall noise by 35%.

New York, Ny, Us

Served as data steward to monitor and profile data quality on Key Data Elements (KDE); investigated data gaps and issues in Enterprise Databases.Analyzed, defined, and documented data requirements: Business Information (KDE & ETL) rules, data lineage, and source to target mappings & reconciliation.Performed data integration and management by consolidating silo data and processes to Enterprise Databases Platform.Built applications using PERL/PLSQL to support data management initiatives: designed ETL solutions; validated data quality; discovered patterns; extracted unstructured data; supported data migration; performed data conversion; maintained data linkage relationships; track historical data issues/exceptions/statistics.Designed Entity Consolidation Engine using phonetic and distance algorithms to reconcile Business (University, School, and District) and Person (Student and Teacher) records; applied “Rule Induction” data mining technique to select potential customers (schools and students) that supports marketing effort for new products and services.Designed robust ETL processes that consist of data cleansing, data matching, and data loading steps. Incorporated task scheduling and workflow control functions into the ETL processes.Performed QC procedures and escalated issues/exceptions to the appropriate department and project team members: identified resolutions to exceptions as data were loaded into databases; ensured outbound data feeds (e.g. SAT Cohort, PSAT History and AP freeze) that meet the data quality specification; conducted tests to discover potential application/data defects during SDLC.Fulfilled standard and ad-hoc reports which included customer mailing list, information comparison, statistical analysis, data mining, data matching, and data aggregation.

2001-2004: Senior Software Engineer, Neural Media1999-2001: Senior Developer, Gyrate Internet Solutions1997-1999: Developer, PRIMEDIA Consumer Magazines1995-1997: Tech Support Analyst, Trading Floor Merrill Lynch