AVP, Screening Optimization & Analytics
Role Overview
Support the Tuning, Calibration & Analytics function within Financial Crime Operations.
Tune, calibrate, optimize, and analyze Group sanctions screening and AML monitoring platforms.
Maintain fit-for-purpose configurations and improve alert quality while reducing false positives, considering global regulations and Bank policies.
Key Skills for This Role
Full Job Posting
Job purpose
Support the Tuning, Calibration & Analytics function within Financial Crime Operations.
Tune, calibrate, optimize, and analyze Group sanctions screening and AML monitoring platforms.
Maintain fit-for-purpose configurations and improve alert quality while reducing false positives, considering global regulations and Bank policies.
Systems and continuous improvement
- Support continuous improvement and the Group systems roadmap.
- Prepare BRD/FSD documentation with Group IT and stakeholders for fit-for-purpose system design.
- Deliver tuning and optimization projects, coordinate stakeholders, and report progress.
- Train affected users and coordinate system change requests, timelines, and architecture updates.
- Deploy appropriate algorithms, parameters, thresholds, and rules; screen against approved global and country lists.
Technology and testing
- Assist with procedures, process design, and system architecture for sanctions screening and AML monitoring.
- Conduct UAT and periodic testing, including data quality, completeness, models, logic, thresholds, and rules.
- Identify, record, risk-assess, and close gaps; tune payment and customer screening and monitoring systems.
- Support country-specific configurations and advise IT on system selection, changes, upgrades, and implementations.
Analytics and reporting
- Develop tuning, calibration, and analytics management information dashboards with Financial Crime Operations SMEs.
- Maintain periodic reporting plans, schedules, and workflows.
- Extract source-system data using logical queries and basic programming, gather dashboard inputs, and submit dashboards for review.
Qualifications and experience
- Bachelor’s degree in Computer Science, Technology, Data Analytics, or a related discipline.
- At least 4 years of experience in data analysis, data management, sanctions screening and/or AML monitoring systems, tuning, calibration, and threshold management.
- Strong knowledge of sanctions, AML monitoring concepts, and financial crime control environments.
- Strong experience with screening and monitoring platforms such as Fircosoft Filter, Firco Utilities and backends, or equivalent tools.
- Good knowledge of SQL and Power BI; scripting languages and exposure to machine learning or advanced analytics are a plus.
- ICA, CAMS, or equivalent Financial Crime Compliance certification is an advantage.
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