000			05885nam a22004693i 4500
001			EBC6423293
003			MiAaPQ
005			20240724114743.0
006			m o d |
007			cr cnu||||||||
008			240724s2020 xx o ||||0 eng d
020			_a9781119381938 _q(electronic bk.)
020			_z9781119381808
035			_a(MiAaPQ)EBC6423293
035			_a(Au-PeEL)EBL6423293
035			_a(OCoLC)1227392441
040			_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ
050		4	_aHV6768 .C438 2021
082	0		_a364.168
100	1		_aChau, Derek.
245	1	0	_aAnti-Money Laundering Transaction Monitoring Systems Implementation : _bFinding Anomalies.
250			_a1st ed.
264		1	_aNewark : _bJohn Wiley & Sons, Incorporated, _c2020.
264		4	_c©2021.
300			_a1 online resource (307 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aWiley and SAS Business Series
505	0		_aCover -- Title Page -- Copyright -- Contents -- About the Authors -- Acknowledgments -- Preface -- 1 An Introduction to Anti-Money Laundering -- The Emergence of AML -- AML as a Compliance Domain -- The Objectives of AML -- Regulatory Reporting -- Corporate Citizenship versus Profitability -- About True and False Positives and Negatives -- The Evolution of Automated Transaction Monitoring -- From Rule-Based to Risk-Based -- From Static to More Dynamic Transaction Monitoring -- Latest Trends: Machine Learning and Artificial Intelligence -- Latest Trends: Blockchain -- Risk-Based Granularity and Statistical Relevance -- Summary -- Chapter 2 Transaction Monitoring in Different Businesses -- Banking -- Correspondent Banking -- Banking - Trade Finance -- Banking - Credit Card -- Insurance -- Securities -- Stored Value Facilities (SVFs) -- Casinos and Online Gambling -- Lottery and Jockey Club -- Other Businesses -- Summary -- Chapter 3 The Importance of Data -- ETL: Extract, Transform, and Load -- Extract: Data Availability and Sourcing -- Transform: Data Quality, Conversion, and Repair -- Data Load and Further Processing -- Loading of the Data -- Data Lineage -- Multiple ETLs -- Summary -- Chapter 4 Typical Scenario Elements -- Transaction Types -- Actionable Entity -- Scenario Parameters -- Use of Maximum Instead of Minimum Value Threshold -- Threshold per Customer -- Pre-Computing Data -- Timeliness of Alerts -- Use of Ratios -- Ratio as Degree of Change/Similarity -- Ratio as Proportion -- Other Common Issues -- Chapter 5 Scenarios in Detail -- Large Aggregate Value -- Unexpected Transaction -- High Velocity/Turnover -- Turnaround/Round-Tripping -- Structuring -- Early Termination/Quick Reciprocal Action -- Watchlist -- Common Specifications across Unrelated Entities -- Involving Unrelated Third Party -- One-to-Many.
505	8		_aTransacting Just below Reporting Threshold -- Chapter 6 The Selection of Scenarios -- Selecting Scenarios -- Regulatory Requirements -- Business Drivers -- Data Quality and Availability of Reference Data -- Maintenance of the Scenario Repository -- How Specific should a Scenario Rule Be? -- Overlapping Scenario Rules -- Summary -- Chapter 7 Entity Resolution and Watchlist Matching -- Entity Resolution -- Watchlists -- Summary -- Chapter 8 Customer Segmentation -- The Need for Segmenting Customers -- Approaches to Segmentation -- Overview of Segmentation Steps -- Organizational Profiling -- Common Segmentation Dimensions -- Considerations in Defining Segments -- Check Source Data for Segmentation -- Verify with Statistical Analysis -- Ongoing Monitoring -- Change of Segmentation -- Summary -- Chapter 9 Scenario Threshold Tuning -- The Need for Tuning -- Parameters and Thresholds -- True versus False, Positive versus Negative -- Cost -- Adapting to the Environment -- Relatively Simple Ways to Tune Thresholds -- Objective of Scenario Threshold Tuning -- Increasing Alert Productivity -- Definition of a Productive Alert -- Use of Thresholds in Different Kinds of Scenario Rules -- Regulation-Driven Rules -- Statistical Outlier -- Insignificance Threshold -- Safety-Blanket Rules -- Combining Parameters -- Steps for Threshold Tuning -- Step 11. Report Write-Up -- Preparation of Analysis Data -- Scope of Data -- Data Columns -- Quick and Easy Approach -- Analysis of Dates -- Stratified Sampling -- Statistical Analysis of Each Tunable Scenario Threshold Variable -- Population Distribution Table by Percentile (Ranking Analysis) -- Distribution Diagram Compressed as a Single Line -- Multiple Peaks -- Zeros -- Above-the-Line Analysis and Below-the-Line Analysis -- Above-the-Line Analysis -- Below-the-Line Analysis.
505	8		_aUse of Scatter plots and Interactions between Parameter Variables -- Binary Search -- What-If Tests and Mock Investigation -- What-If Tests -- Sample Comparisons of What-If Tests -- Qualifying Results of What-If Tests -- Scenario Review Report -- Scenario Review Approach -- Scenario Review Results -- Summary -- Index -- EULA.
588			_aDescription based on publisher supplied metadata and other sources.
590			_aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650		0	_aMoney laundering-Prevention.
655		4	_aElectronic books.
700	1		_aNemcsik, Maarten van Dijck.
776	0	8	_iPrint version: _aChau, Derek _tAnti-Money Laundering Transaction Monitoring Systems Implementation _dNewark : John Wiley & Sons, Incorporated,c2020 _z9781119381808
797	2		_aProQuest (Firm)
830		0	_aWiley and SAS Business Series
856	4	0	_uhttps://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6423293 _zClick to View
999			_c23085 _d23085