Manager – AML Compliance, Transaction Monitoring
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Job Description
AML Compliance Manager overseeing transaction-monitoring data quality, model tuning, and regulatory effectiveness for Mashreq Bank. Partnering with Compliance, Technology, Data, Operations, and vendors.
Responsibilities:
- Execute day-to-day activities under the TM Data Quality Management Framework for AML TM system/product.
- Perform periodic data quality reviews through automated data quality dashboard and other processes.
- Define, maintain and periodically review data quality validation rules for CDEs pertaining to the Transaction Monitoring system/process.
- Review reconciliation dashboards or reconciliation processes and exception reports to ensure TM system data is adequate and free of data breakage.
- Work closely with Compliance Data & Analytics and Data Governance units on data management activities.
- Maintain evidence of data quality controls.
- Manage transaction monitoring system performance by overseeing alert/case volumes and investigation outcomes; provide coaching, guidance, and training.
- Oversee data management by validating ETL exception reports and processes, data mappings, and data quality reports.
- Partner with the Regulatory Technology team on AML Transaction Monitoring projects.
- Translate business, compliance, and regulatory requirements into structured Business Requirement Documents.
- Document technical specifications, perform User Acceptance Tests, and document analysis results.
- Perform typology coverage assessments and address AML coverage gaps; resolve logic and configuration issues in monitoring scenarios.
- Partner with users to develop initiatives that transform and modernize transaction monitoring capabilities and services.
- Assess current and future-state surveillance, platforms, policies, and procedures to promote continuous improvement.
- Support Internal Audit, model validation, and regulatory reviews relating to data quality controls and Transaction Monitoring system activities.
- Assist Compliance with actionable financial crime risk intelligence through ad hoc extracts, analysis, and interpretation using SQL/relevant tools and statistical techniques.
- Act as a subject matter expert supporting colleagues in international locations on data quality matters.
- Build tactical and scalable technology solutions for operational teams managing ad hoc compliance tasks and risks.
- Support proactive solutions to detect AML risks and enable dynamic client monitoring using internal or external data.
- Coordinate with AML investigators to create data- and intelligence-driven investigation processes.
- Maintain adequate record-keeping, MI, and evidence pertaining to AML.
- Assist with data integrity, data governance, and profiling activities.
- Complete special projects as requested.
Requirements:
- Bachelor's/ Master's degree in Engineering, Mathematics, Statistics or related field with excellent quantitative and qualitative methodological skills.
- Knowledge of AML laws and regulations, including a general and broad understanding of AML and representational risks
- Subject Matter expert in AML Transaction Monitoring covering various Business lines such as Retail/Corporate Banking, Correspondent banking and Trade etc.
- Extensive direct working experience in AML Transaction Monitoring models and relevant experience in Tuning and Optimization of AML models
- Experience with statistical inference (e.g. predictive analytics, clustering, Machine Learning Algorithms) and Python programming modules such as pandas, sklearn, pyspark, numpy
- Experience in Data Quality assessments and associated data cleansing methodologies.
- Excellent collaborative and team building skills and a desire to work as a part of a high functioning team of financial intelligence specialists.
- Strong oral and written communications skills and experience defending research findings
- Data Management Frameworks such as Data Governance, Data Lineage, Data Catalogue, Data quality
- Additional Knowledge on SAS-AML application/SAS EG/SAS VIYA plaftforms
- Experience Consumer Financial Product/Payments/FinTech Experience a plus Machine learning, statistical modeling or data mining expertise
- Understanding the data analysis pipeline, data infrastructure, big data and work well with large datasets.
- Experience with Risk Coverage Assessment, Model Validation and Tuning
- Certification from CAMS/equivalent
Benefits:
- Remote work (RW)
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