Emirates Bank Careers – FCRM Project

Job Description:

The AML transaction monitoring system is used to identify and protect the institution from any transaction that may lead to Money Laundering or Terrorist Financing This system uses sophisticated technologies which are highly configurable and can be tuned to reflect ENBDs policies and risk appetite to improve effectiveness and reduce false positives The Detection Scenarios Tuning Officer is responsible for optimizing the Group Compliance AML Transaction Monitoring softwares effectiveness and efficiency by reducing false positives while improving the conversion ratio of alerts generated vs suspicion activity reports filed with regulators This resource will also perform the following activities for tuning the AML Transaction Monitoring system

Job Responsibilities:

• Knowledge of Transaction Monitoring FATCA and CRS alerts system
• Basic knowledge of AML typologies
• Understanding of banking products and operations
• Understanding of compliance products and processes
• Strong knowledge on reducing false positives for AMLCFT alerts
• Strong knowledge on improving quality of AMLCFT alerts
• Basic knowledge of compliance monitoring and screening system
• Developing threshold setting methodologies based on statistical modelseg Normal Distribution or Jump Analysis
• Subdividing customers into segments using statistical tools including conjoint analysis and clustering algorithms
• Modelling detection scenarios and testing thresholds with statistical toolseg R SAS and Python
• Verifying that data mapping and thresholds are complete and fit for purpose
• Reducing the volume of false and lowquality alerts using alerts analysis and data mining
• Tracking logging and escalating issues to the senior management
• Documenting tuningrelated activities and presenting corresponding reports
• Setting up governance around tuning activities
• Applying risk based thresholds for all detection scenarios across all locations
• Analyzing machine learning model outputs and apply corresponding learnings for better quality alerts

Job Requirements:

• Modelling of detection scenarios using methods such as Percentile Distribution and Jump Analysis
• Testing and validation of the methodology
• Documentation of methodology
• Training of other analysts on methodology
• Aligning thresholds with risk tolerance
• Design and implementation of process to reduce low quality alerts based on historical data
• Data mining using techniques such as regression classification trees and neural networks to identify low quality alerts
• Identify segments using conjoint analysis and clustering algorithms
• Monitor performance of segments and advise changes
• Modelling using kmeans hierarchical distribution analysis
• Liaise with IT EDW and Fiserv to implement new customer segments
• Documentation of methodologies thresholds and segmentation
• Documentation of decision making process
• Maintenance of audit trails
• Ability to present ideas and achieve consensus
• Strong written and oral communication and inter personal skills
• Should be pragmatic Innovative and quick learner
• Team player and ability to work in multicultural environment
• Analytical skills structured thinking and problem solving skills
• Ability to work under pressure
• Decision making skills
• Stakeholder management skills

Job Details:

Company: Emirates Nbd Careers

Vacancy Type: Full Time

Job Location: United Arab Emirates-Dubai

Application Deadline: N/A

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