Dan Yacovino
VP, Financial Crimes Technology - Transaction Monitoring - Morgan Stanley
- Role
- Lead Systems Analyst IT Product Owner at Morgan Stanley
- Location
- Brooklyn, NY, US
- LinkedIn followers
- 500 followers
About Dan Yacovino
Focused on data analysis and project management, working both with technology and the…
Experience
Lead Systems Analyst IT Product Owner
Oct 2017 — Present · New York, NY, US
Leads a team of 10+ developers while collaborating closely with data scientists to build innovative, technology-first Compliance solutions that focus transaction monitoring on riskiness while reducing volumes of noisy, unproductive alerts.• Designed and led the build of a modern transaction monitoring system, which prioritizes making evaluation decisions transparent in 35+ AML scenarios to easily prove positive and negative outcomes for investigations, audits, and regulatory inquiries while providing ample data points for machine learning initiatives.• Executed the migration of the legacy institutional securities group transaction ETL, which processes 2MM transactions per day and applies one of 150+ granular classifcations to improve investigation context and to provide transparency into which transactions are filtered and why.• Regularly supports Global Financial Crimes with annual audits, external exams, and regulatory requests with data analysis leveraging SQL and Python, subject-matter expertise with systems and data, and writing and maintaining clear documentation.
Education
Fordham University
B.A.
2007 — 2011
Skills
- Actimize
- Ios
- Python
- Anti Money Laundering
- Quality Assurance
- Access
- Project Management
- Android
- Requirements Analysis
- Microsoft Sql Server
- Morningstar
- Management
- Os X
- Jira
- Google Apps
- Adove Creative Suite
- Microsoft Publisher
- Wordpress
- Business Requirements
- Customer Service
- Microsoft Excel
- Powerpoint
- Sdlc
- Microsoft Word
- Microsoft Office
- Agile & Waterfall Methodologies
- Sql
- Visio
- Sharepoint
- Ms Project
- Agile Project Management
- Program Management
- Analysis
- Aml
- Data Analysis
- Investment Banking
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