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Treasury's Strategy 2020 - A Risk-based Approach to AML

Last week, the US Department of Treasury published its 2020 Strategy document that "employs a whole-of-government approach to guide the public and private sectors in addressing 21st century illicit finance challenges."  The report highlights the risk-based approach as central to the 2020 Strategy. 

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Topics: machine learning, money laundering, mathematical models, risk management, AML/BSA/CFT, regulatory compliance, agile compliance

RegTech: Systems of Insight to Guide Anti-Money Laundering (AML)

On the same day that the prosecution rested its case against Paul Manafort, the U.S. Attorney’s office in Tucson, AZ got a seven-year sentence against a fraudster for a money-laundering scheme; a former Microsoft employee was sentenced to 18 months after pleading guilty to conspiracy to commit money laundering; a messy FBI sting involving money laundering came to light; and a report from the Financial Task Force (FATF) that looks at the techniques and tools used by professional money launders (PMLs) unveiled numerous new dangers.

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Topics: fintech, regtech, regulation, money laundering, mathematical models, risk management, financial risk

Occam's Razor and Managing Model Risk

Introduction

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Topics: banking, AML, model validation, occam's razor, mathematical models, risk management, financial risk, data analytics

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