AVP, Screening Optimization & Analytics
First Abu Dhabi Bank (FAB) · Abou Dabi
وصف الوظيفة
About the role
This role supports the Tuning, Calibration & Analytics function within Financial Crime Operations by performing tuning, calibration, optimization and analytics activities across the Group's sanctions screening and AML monitoring platforms. It deploys and maintains fit-for-purpose screening and monitoring configurations, runs periodic tuning and calibration to improve alert quality and reduce false positives, and produces analytics and management information for stakeholders, in line with global regulatory requirements and the Bank's policies.
Key responsibilities
- Follow departmental policies, SOPs and instructions consistently.
- Support continuous improvement and the Group's sanctions screening and AML monitoring systems roadmap, working with Group IT and other stakeholders on BRD/FSD documentation.
- Deliver mandated tuning and optimization projects, coordinate changes with Group IT, set timelines and deliver user training for go-live.
- Deploy algorithms, parameters, thresholds and rules, and tune and calibrate systems to improve alert quality.
- Ensure systems screen against Bank-approved global and country lists for all FAB locations.
- Manage periodic testing of screening and AML systems, including data quality, completeness, models, logic, thresholds and rules.
- Carry out ongoing tuning and calibration of payment/customer screening and AML monitoring systems, supporting local and international locations on country-specific configuration.
- Advise IT teams on system selection, upgrades and new implementations.
- Build MI dashboards with Financial Crime Operations SMEs, run reporting plans and extract data from source systems using logical queries and basic programming.
Required profile
- Bachelor's degree in Computer Science/Technology, Data Analytics or a related discipline.
- At least 4 years of experience in data analysis, data management and sanctions screening and/or AML monitoring systems, including tuning, calibration and threshold management.
- Strong knowledge of sanctions, AML monitoring concepts and financial crime control environments.
- Preferred: ICA, CAMS or equivalent Financial Crime Compliance certification.
Required skills
- Screening and monitoring platforms such as Fircosoft Filter, Firco Utilities and backends, or equivalent tools.
- SQL and Power BI.
- Preferred: scripting languages (Python, Bash, KSH, PowerShell) and exposure to machine learning or advanced analytics.
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First Abu Dhabi Bank (FAB)
Abou Dabi
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