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Open nowPosted 8 days ago

Manager - AML Compliance - Transaction Monitoring

Mashreq312 open roles

Where
Pakistan
Work mode
Remote
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Your applicationOpen nowManager - AML Compliance - Transaction MonitoringMashreq · Pakistan
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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Mashreq postings stay open a median of 19 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 8 days ago

Mashreq median: 19 days open

The posting

Job Description

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:

  • 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 of CDEs pertaining to Transaction monitoring system/process.
  • Review the reconcilation dash boards or reconcilation process, exception reports to ensure TM systems data received are adequate and no data breakage
  • Closely work with Data & Analytics team of compliance and Data governance units and support all data management related activities.
  • Maintain evidence of data quality controls.
  • 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.
  • Partner with Regulatory Technology team of the bank and support on-going activities for various AML TM related projects
  • 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
  • Perform typology coverage assessment of TM system and Address AML coverage gaps. Resolve logic and configuration issues in monitoring scenarios;
  • Work in partnership with users to develop and drive initiatives that transform and modernize the capabilities and services of transaction monitoring
  • Assess current and future state of surveillance, platform, policies, and procedures to promote continuous improvement
  • Support Internal Audit, model validation reviews and Regulatory reviews relating to data quality controls and TM system activities
  • 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.
  • Special projects as requested

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
  • 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

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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