The client needed to ensure the effectiveness of their sanctions screening system, address data quality issues, validate data transformation rules, and optimize match scores to balance sensitivity and false positives.

Conducted sensitivity testing and optimized match scores.

1. Input Data Analysis: Validated data sources, highlighted data quality issues, and verified data transformation rules from source to screening system.

2. Sensitivity Testing: Prepared text-analytics based test cases on fields like name/address/DOB match, performed sensitivity testing to evaluate system effectiveness, and highlighted mismatches.

3. Match Score Amendment & Optimization: Suggested improvements in production match score through stress testing, executed review of current list settings to ensure compliance with latest regulatory guidelines.

4. Finalization: Understood system matching logic, prepared test cases, and finalized production match score to minimize false positives.

Mitigated screening process risks and minimized false positives.

- Mitigated risks associated with the screening process.

- Minimized false positives leading to operational efficiency gains.

- Enhanced screening system effectiveness.