Imarticus Learning - Big Data Analytics Training Institute | Certification in Big Data

Risk management faces new demands and challenges in the IT age. In response to the spate of recent financial crises, regulators are insisting on ever more detailed data and increasingly sophisticated reporting. Do you want to meet regulatory requirements for credit risk? Or do you want to go beyond the requirements and improve your business with your credit risk models? If your credit risk is managed effectively, you should be able to do both. Big Data represents the  future of risk management  and can help Risk teams gain better intelligence drawn from a variety of data sources, in almost real-time. Join us to learn more about how Big Data can help you manage  risk in our power-packed 2-day executive development program ! Checkout summary of  our past Executive Development Program on Anti-money Laundering was held on 28th and 29th July at Novotel Hotel, Bangalore.  The 2-day workshop was conducted by our resident AML/KYC experts Ratan Postwalla and S...

The amount of money laundered globally in one year is estimated at 2-5% of the global GDP, or between a staggering USD 800 billion – USD 2 trillion, according to United Nations Office on Drugs and Crime. The expression ‘Money Laundering’ is of a fairly recent origin, with the term first appearing in the US in a newspaper in 1973. The term “money laundering” owes its existence to Laundromats in the United States that were owned by the Mafia. This was done by purchasing outwardly legitimate businesses and mixing their illegal earnings with the legitimate earnings received from these businesses. But other historians differ from this version. According to them, money laundering is called so, because it perfectly describes how dirty money is put through a cycle of transactions, or washed, so that it comes out at the other end as legal or clean money. In other words, the source of illegally obtained funds is disguised through a series of transfers and...