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The role involves managing the bank's Transaction Monitoring platform and ensuring data integrity through the Data Quality Management Framework. The incumbent will collaborate with cross-functional teams to optimize monitoring scenarios, assess alert performance, and support regulatory compliance initiatives.
Job Purpose:
As a member of Mashreq Global Network, the incumbent will work with Vice President, Transaction Monitoring in AML Compliance unit. The role is responsible for supporting the Data Quality Management Framework (DQMF) and ongoing management of the Bank's Transaction Monitoring platform. The individual will ensure the quality, completeness, accuracy, and integrity of TM data, while also monitoring scenario effectiveness, assessing alert performance, supporting optimization initiatives, and maintaining the overall health of the TM system. The role acts as a bridge between Compliance, Technology, Data Management, Operations, and vendors to ensure that the Transaction Monitoring program remains effective, efficient, and aligned with regulatory expectations.
Key Result Areas:
Support Vice President, Transaction Monitoring Product Manager in following:
Manage transaction monitoring system performance by overseeing alert/case volumes and outcome of investigations and provide ongoing coaching, guidance, and training.
Oversee data management by validating ETL exception reports and processes, data mappings, and data quality reports.
Translate business/compliance/regulatory requirements into structured Business Requirement Document to build suitable methodologies to obtain targeted output
Document technical specifications, perform User Acceptance tests and document results of analysis
Assist Compliance function with actionable intelligence on Finance Crime Compliance risk by performing Adhoc Extracts, analyses, and interprets data using SQL/relevant tools and applied statistical techniques
Act as a SME in the team by supporting colleagues in different international locations on data quality related aspets
Build tactical and scalable solutions by leveraging technology solutions for operational teams to manage adhoc compliance tasks and risks
Support in building proactive solutions to detect AML risks and perform effective dynamic monitoring of clients using internal or external data.
Coordinate with seasoned AML investigators to create a seamless process for data/intelligence driven investigations.
Maintain adequate record-keeping /MI and evidence pertaining to AML, etc
Assist with ensuring the integrity of the data and perform data governance and profiling activities as directed.
Operating Environment, Framework and Boundaries, Working Relationships:
This Job holder will be working closely HO Compliance, FCC Data analytics , AML Investigations users, Reg-Tech team, ETL developers, Data Modelers / Architects and MI teams
Knowledge, Skills and Experience:
Mandatory
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
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
Preferable
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
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