The Solutions Series: Tuning and Optimization Part 2
Apr 24, 2024
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Advisory experts Joshua and Jonathan discuss tuning and optimization in AML systems, focusing on transaction monitoring thresholds, performance metrics, SAR triggered by multiple rules, and balancing data-driven methods. They emphasize the importance of high-quality data, key performance indicators, and the technical process of tuning for effective AML compliance programs.
Transaction monitoring thresholds must be finely tuned to detect criminal behavior accurately.
Utilizing percentile analysis helps in refining rule thresholds and enhancing system effectiveness.
Deep dives
Importance of Above the Line (ATL) and Below the Line (BTL) Testing in Tuning and Optimization
Above the line (ATL) and below the line (BTL) testing are essential in tuning and optimization processes. ATL testing focuses on productivity metrics and detecting anomalies by examining output results. For instance, identifying scenarios with a low alerts-to-SARs ratio indicates threshold adjustments. Conversely, BTL testing emphasizes data quality and setting baseline thresholds. It involves exploring transaction values through percentile analysis to determine rule adjustments for optimal system performance.
Leveraging Percentile Analysis for Tuning
Utilizing percentile analysis in tuning processes offers a comprehensive understanding of transaction values and threshold settings. By assessing different percentiles of transaction values, including median and extreme values, financial institutions gain insights into threshold placements. This approach aids in identifying rule overlaps, assessing threshold effectiveness, and ensuring alert accuracy. Incorporating heuristics and historical data further enhances the effectiveness of percentile analysis for refining rule thresholds.
Challenges and Considerations in Tuning and Optimization
Tuning and optimization present challenges due to the intricate blend of data-driven insights and nuanced decision-making processes. Institutions face complexities in discerning the causes of SARs, especially when multiple alerts contribute to a single filing. Balancing data science and experiential judgment is crucial in refining rule thresholds effectively. Tracking minimum SAR-filed values and evaluating rule overlaps provide valuable indicators for fine-tuning detection scenarios. Moreover, maintaining a test environment for verifying metrics before production implementation enhances the tuning process's reliability and efficiency.
If transaction monitoring thresholds are too sensitive or not sensitive enough, financial institutions run the risk of missing genuine criminal behavior. Likewise, without periodic tuning and optimization, systems may fail to detect emerging criminal methodologies or comply with the latest AML rules. In this episode, our advisory experts, Joshua and Jonathan, take a deep dive into the technical process of tuning and optimizing, sharing best practices and insights to ensure systems operate effectively and support a risk-based approach.
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