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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

Fintech in 2017: Risk management takes center stage

A day in the life of the gentleman banker was once described by the 3-6-3 rule – accept deposits at three percent, loan money at six percent and tee off at the golf course at 3 p.m. The financial services industry can rightfully state that it has come a long way since then. It has implemented technological innovation and managed risk in a constantly changing economic environment over several decades. The gentleman banker has since evolved into a sophisticated financial risk manager who works within a complex framework of rules and regulations with tens of trillions of dollars of assets under management. 

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Topics: AML, regtech, fintech, regulation, money laundering, risk management, banking, big data, machine learning

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