Manager – AML Compliance, Transaction Monitoring

🔥 0 minutes ago

🇵🇰 Pakistan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚨 AML and Financial Crime

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mashreq

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1967

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.

📋 Description

• 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)