Manager - AML Compliance, Transaction Monitoring

About the role

Mashreq Global Network is hiring a Manager for AML Compliance, Transaction Monitoring. The incumbent works with the Vice President, Transaction Monitoring in the AML Compliance unit and supports the Data Quality Management Framework (DQMF) and the bank's Transaction Monitoring platform. The role ensures the quality, completeness, accuracy and integrity of TM data, monitors scenario effectiveness and alert performance, and acts as a bridge between Compliance, Technology, Data Management, Operations and vendors.

Key responsibilities

• Run day-to-day activities under the TM Data Quality Management Framework and run periodic data quality reviews via automated dashboards
• Define, maintain and review data quality validation rules for CDEs, and review reconciliation dashboards and exception reports
• Work with Data and Analytics and Data Governance teams, maintain evidence of data quality controls and validate ETL exception reports, data mappings and data quality reports
• Manage TM system performance by overseeing alert and case volumes and investigation outcomes, and coach and train colleagues
• Translate business, compliance and regulatory requirements into business requirement documents, document technical specifications, run user acceptance tests and assess typology coverage and AML coverage gaps
• Partner with the Regulatory Technology team on AML TM projects, support Internal Audit, model validation and regulatory reviews, and help build proactive detection of AML risks
• Perform ad-hoc extracts and analyses using SQL and statistical techniques, coordinate with AML investigators and act as a subject matter expert for colleagues in other locations
• Build scalable solutions for ad-hoc compliance tasks and maintain records and evidence of AML work

Required profile

• Bachelor's or Master's degree in Engineering, Mathematics, Statistics or a related field
• Subject matter expert in AML Transaction Monitoring across retail, corporate, correspondent and trade banking
• Extensive experience in AML TM models, tuning and optimization, and data quality assessments and cleansing
• Excellent collaboration, communication and presentation skills

Required skills

• Statistical inference (predictive analytics, clustering, machine learning algorithms)
• Python with pandas, scikit-learn, PySpark and NumPy
• AML laws and regulations; data quality frameworks (Data Governance, Data Lineage, Data Catalogue) preferred
• Additional knowledge of SAS AML, SAS EG and SAS Viya is preferable; consumer finance, FinTech and model validation experience is a plus