About the Role
This position supports the Tuning, Calibration & Analytics function within Financial Crime Operations by engaging in tuning, calibration, optimization, and analytics activities linked to the Group’s sanctions screening and AML monitoring platforms. The role focuses on maintaining effective screening and monitoring configurations, enhancing alert quality while minimizing false positives, and generating analytics and management information tailored for specific stakeholders, aligned with global regulatory requirements and the company’s policies.
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Key Accountabilities
Policies, Systems, Process & Procedures
- Adhere to all relevant departmental policies, processes, standard operating procedures, and guidelines to ensure controlled and consistent execution of work.
Continuous Improvement
- Assist in identifying opportunities for continuous improvement and sustainability within the Financial Crime Operations frameworks.
- Support the rollout of the Group’s sanctions screening and AML monitoring systems roadmap and keep the VP & Head of Tuning, Calibration & Analytics informed.
- Collaborate with Group IT and other stakeholders to draft BRD/FSD documentation and ensure the design of effective sanctions screening and AML monitoring systems.
- Coordinate with relevant stakeholders to deliver agreed-upon tuning and optimization projects while providing periodic updates to the VP & Head of Tuning, Calibration & Analytics.
- Conduct user training for affected personnel to ensure smooth transitions during implementations.
- Manage change requests with Group IT for necessary platform adjustments, ensuring timely coordination, program structuring, and system architecture modifications as needed for financial crime control capabilities.
- Implement fit-for-purpose algorithms, parameters, thresholds, and rules across Group operations as aligned with leadership and relevant stakeholders.
- Guarantee that sanctions screening systems successfully validate information against company-approved global lists and individual country lists across all locations.
Technology
- Assist in developing procedures and processes that align with Group Policy for the Tuning, Calibration & Analytics function.
- Engage in the design and system architecture discussions for sanctions screening and AML monitoring systems with relevant business users.
- Oversee User Acceptance Testing (UAT) sessions for system implementations.
- Conduct regular testing of screening and monitoring systems covering data accuracy, quality, completeness, and underlying models, logic, thresholds, and rules.
Data Analysis
- Perform routine testing of payment/customer screening and AML monitoring systems to identify and assess risks, as well as to address discovered gaps.
- Continuously tune and calibrate payment/customer screening and AML monitoring systems to ensure consistency, efficiency, and effectiveness.
- Collaborate with the VP & Head of Tuning, Calibration, & Analytics to support local and international operations with country-specific configuration needs in relation to sanctions and AML.
- Advise related IT teams on system selections, upgrades, implementations, and initiatives affecting performance.
Reporting
- Team up with Financial Crime Operations SMEs to create tuning, calibration, and analytics MI dashboards.
- Develop and manage a periodic reporting plan and workflow for multiple reports.
- Extract data for management information dashboards using logical queries and basic programming, collaborating with Financial Crime Operations colleagues as necessary.
- Submit MI dashboards for review to the VP & Head of Tuning, Calibration & Analytics.
Minimum Qualification
- Bachelor’s degree in Computer Science/Technology, Data Analytics, or a related field. Financial Crime Compliance certification (ICA, CAMS) is preferred.
Minimum Experience
- A minimum of 4 years in data analysis, data management, and sanctions screening and/or AML monitoring systems with experience in tuning, calibration, and threshold management.
- Comprehensive knowledge of sanctions, AML monitoring concepts, and financial crime control environments.
- Experience with screening and monitoring platforms (e.g., Fircosoft filter, Firco Utilities) or comparable tools.
- Proficient in SQL and Power BI; familiarity with scripting languages (e.g., Python, Bash, KSH, PowerShell) and exposure to machine learning or advanced analytics is an advantage.
