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

AI led Digital Banking: Banking the Millennial Generation

In 1994 Stanford Federal Credit Union was the first US financial institution to offer internet banking to all its customers. Since then, digital banking has rapidly adopted newer technologies to automate business processes and simplify customer interaction.

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Topics: customer analyitcs, community banking, machine learning, data analytics, financial risk, risk management, risk manangement, regulation, digital marketing, KYC, data analytics infrastructure, business insights, big data, digital banking, advanced analytics, AI led digital banking

Occam's Razor and Managing Model Risk

Introduction

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

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