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Preface; A Setting the scene; 1: Credit scoring and the business; 2: Credit micro-histories; 3: The mechanics of credit scoring; B Risky business; 4: The theory of risk; 5: Decision science; 6: Assessing enterprise risk; C Stats and Maths; 7: Predictive statistics 101; 8: Measures of separation/divergence; 9: Odds and ends; D Data!; 10: Data considerations and design; 11: Data sources; 12: Scoring structure; 13: Information sharing; 14: Data preparation; E Scorecard development; 15: Transformation; 16: Characteristic selection; 17: Segmentation; 18: Reject inference; 19: Scorecard calibration; 20: Validation; 21: Development management issues; F Implementation and use; 22: Implementation; 23: Overrides, referrals, and controls; 24: Monitoring; 25: Finance; G Risk management cycle; 26: Marketing; 27: Application processing; 28: Account management; 29: Collection and recoveries; 30: Fraud; H Regulatory environment; 31: Regulatory concepts; 32: Data privacy and protection; 33: Anti-discrimination; 34: Fair lending; 35: Capital adequacy; 36: Know your customer (KYC); 37: National differences; Z Reference materials; 38: Glossary / Dictionary; 39: Bibliography; 40: Appendices; Index

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