Company DescriptionFAB, the UAE\'s largest bank and one of the world\'s most secure financial institutions, is dedicated to creating value for its employees, customers, shareholders, and communities. Through innovation, agility, and differentiation, FAB is committed to fostering growth. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry JOB PURPOSE:To be part of the Compliance System and Model Validation function team and to achieve below objectives with a focus on SAS AML deployments across the group: * Help in development and implementation of SAS AML System Governance Framework (Comprehensive framework consisting of automated control processes with a view to prove/validate system performance thereby improving overall control environment and regulatory performance in SAS AML models) for SAS AML deployments across the group.

• Develop programs and automated procedures to deploy the automated controls that constitute the System Governance framework.
• Monitor and validate system and data architecture performance on a periodic basis using control and reconciliation mechanisms deployed as part of the system governance framework.
• Build testing and monitoring controls in order to ensure that the models deployed in bank are working as intended and capable enough to recommend for any changes in the system functionality or configurations which are found as part of the reviews.
• Experience in analysing the settings in the SAS AML system and validate it against the industry benchmarks or typologies.
• Good Understanding in various typologies/red flags, in order to validate it against the nature of the risk arising from the data patterns seen in transactions from different businesses.
• Good knowledge in Tuning scenario parameters to review on the current configurations and cross verify with the latest data for identifying the effectiveness.
• Undertake random control testing on SAS AML architecture (system + data architecture) on a frequent basis and recommend relevant remedial measures.
• Undertake periodic assessments of the SAS AML landscape as per GIA and regulatory expectations.
• To support the input and development of specific Compliance System Validation Control Testing KPIs / KRIs for reporting purposes
• To identify areas of further improvement to enhance the compliance systems control environment.

KEY ACCOUNTABILITIES:Job Specific AccountabilitiesPolicies, Systems, Process & Procedures

• Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that the work is carried out in a controlled and consistent manner.

Governance of the SAS AML Landscape

• Support the development and implementation of the SAS AML System Governance Framework i.e., a comprehensive framework consisting of Control and validation processes that test production system settings/parameters/configuration/mapping/design attributes against desired system settings/parameters/configuration/mapping/design attributes.
• Develop scripts/programs/code procedures on a range of technology and analytics platforms to support the implementation of the SAS AML System Governance Framework.
• Monitor the control mechanisms/processes implemented via dashboards, auto-generated reports and ad-hoc script-driven database queries.
• Evaluate the control mechanisms/processes.

• Data feeds/ETL pipelines across the entire data architecture (source to Compliance system).
• Scenario performance (parameters, data mapping and configuration etc.,)
• Alert queues.
• Case management and workflow aspects.
• Reporting mechanisms.
• Overall impact of any failures on the AML program.
• Develop a report at the end of each review to capture the findings with the root cause of the issue/risk and disseminate the reports to senior management.
• Oversee the progress of the issues and ensure that the issues are remediated on time.
• Undertake end to end testing of the system with respect to the adequacy of scenarios, defined thresholds, customer segmentations and product to scenario coverage mapping.
• Review the methodologies and validate the latest typology assessment, performance analysis and customer segmentation process.
• Ensure the changes are in line with the enterprise change management process and review the controls followed.
• Develop regular monitoring and validation reports for senior management that outline the below aspects:

• Results of the automated control processes/mechanisms.
• System/data failures and their impact on the AML program.
• Validation of remediation undertaken and independent assurance pertaining to the remediation.
• Results of random, independent control-testing.
• Overall performance of the SAS AML landscape and recommendations to ensure model performance continues to meet requirements.

Periodic assessment of SAS AML landscape and models

• Using the SAS AML system governance framework, undertake periodic reviews of the SAS AML models across the network with a focus on below aspects:

• Independent AML Typology assessment.
• Source systems and overall data architecture.
• Overall IT governance and adherence to defined SDLC procedures.
• System/scenario configuration and performance.
• Data lineage, mapping and quality.
• Alert adjudication process.
• Case management and workflows
• Based on assessment, submit detailed report to senior management with findings and actionable recommendations.

Specialist development, data analysis and reporting * Undertake development of custom applications/scripts using common data analytics and technology platforms (SQL, Python, R, Alteryx, PowerBI and Tableau etc.) in response to specific requests.

• Develop custom dashboards to automatically provide updates to senior management using common visualization platforms (PowerBI or Tableau).

Technology

• Assist in producing procedures and processes aligned to Group Policy of new Group TDR function.
• Assist in building automated systematic control using latest technical stacks.
• Assist in cross training the other team members.
• Assist in exercises such as design and system architecture of compliance related systems by consulting with business users.

Reporting

• Collaborate with Compliance SMEs to develop Compliance Monitoring and validation related MI dashboards.
• Develop periodic review plan and report the status of the reviews to senior management.
• Follow up the pending issues which was reported as part of previous review and ensure that are all closed on time.
• Assist in building annual review plan according to the regulatory requirements/GIA/any adhoc requirements.

#LI-SD1QualificationsMinimum Qualification

• Graduate qualifications in economics, computer sciences, mathematics, financial studies, legal, law or business studies preferred. Post-graduate qualifications with a mix of finance, law, economics and computer science majors highly desirable.

Minimum Experience

• 6 to 8 years of experience with European or North American financial institutions, regulators and/or professional services firms with a focus on Financial Crime Technology and Analytics work streams/services.
• Proficiency in coding on SQL, Python and R. Experience in development of reports and dashboards using Power BI/Tableau.
• Experience in development of AML scenarios on leading platforms, replication of scenario logic in SQL and/or Python. Understanding of typology/red flag assessment. Experience with SAS AML essential.
• Proficient in the use of data mining, analysis, and statistical techniques to perform/enhance customer segmentation, set AML scenario thresholds subject to segment-level distribution and perform ATL/BTL testing to tune thresholds etc. Experience in using machine learning models to implement effective segmentation and behavioral thresholds (ex - k-means clustering). Knowledge of solutions such as Siron AML, SAS AML, NICE Actimise and FCCM etc. highly desirable.
• Extensive experience in data analysis, mining, wrangling and engineering techniques. Extensive experience in SQL and ability to develop stored procedures, write dynamic T-SQL and custom functions etc.
• Experience in developing ETL scripts to extract, transform and load data. Ability to analyze existing scripts and code snippets to optimize them.
• Excellent understanding of IT and system controls and experience in designing controls based on system functionality.
• Good understanding in Data Governance principles and experienced in creating Data Quality monitoring and testing rules along with Data reconciliation concepts.
• Good experience in understanding the AML concepts, if ACAMS certified is added advantage. sss

First Abu Dhabi Bank