Thomas Fernandez UBAGARAM

• Led metadata management and data lineage integrations, ensuring compliance with governance policies.
• Developed SAS AML programs for out-of-box and custom scenarios.
• Built SAS programs addressing various fraud scenarios for business rules non-card team.
• Created scenario variance files and deployed code using GitLab.
• Coordinated cross-functional teams to gather requirements for project execution.
• Designed and implemented data quality rules, thresholds, and metrics to monitor compliance.
• Conducted root cause analyses of data quality issues and devised corrective action plans.
• Defined retention policies and archiving strategies aligned with legal requirements.

• Integrated watchlist scenarios (OFAC, FATF) to enhance AML monitoring and implement KYC data reconciliation.

Validated metadata repositories and ensured accuracy of data lineage.

• Monitored SLAs for data quality and resolved discrepancies promptly.
• Analyzed large datasets to deliver actionable insights and analytics.
• Executed Information Governance strategies to strengthen compliance frameworks.
• Conducted disaster recovery activities and performed root cause analyses for production issues.
• Utilized technologies such as SAS AML, SQL, Python, Oracle, and UNIX effectively.

• Delivered regional credit reports for 40 countries, ensuring data accuracy and global compliance
• Integrated metadata and data lineage practices for governance
• Supported data quality, retention management, and privacy initiatives
• Collaborated with stakeholders for information management strategies
• Designed and implemented ETL processes for data warehouses and BI analytics
• Technologies: SAS, SQL, Data Integration, BI tools

• Developed methodologies for Basel III Liquidity Coverage Ratio operational assessments.
• Conducted root cause analyses to identify issues and implemented data quality controls.
• Utilized SAS and SQL technologies to enhance data processing efficiency.

• Retrieve data from Oracle Database to SAS for data review and statistical analysis using SQL
• Propose and develop technical solutions based on user specifications, adhering to AML standards
• Work with vendor package application software, including Actimize Enterprise Case Management and SAS AML
• Perform SAS AML tuning processes, add parameters, and change threshold values for monitoring suspicious activities; support migration of SAS AML Application from version 2.1 to 7.1
• Conduct report data testing, including UAT, system testing, and quality assurance; build scenarios and monitor transactions at account/customer levels
• Provide client support outside normal business hours, including weekends and on-call rotational basis
• Collaborate with analysts to gather requirements, write technical design documents, test, debug, and assist in program implementation
• Perform data analysis, statistical analysis, and generate reports using SAS tools (Base, Enterprise Guide, Macros, SQL, AML 7.1)
• Work Experience ###, Implemented AML scenarios for regulatory compliance
• Automated validation processes and improved metadata practices.

• Implemented AML scenarios to identify high-risk transactions
• Improved data quality via automated validation and metadata enhancement