The Intersection of Big Data and Risk Management

Risk management is dependent on data. But post crisis, modern risk management in banking poses unique Big Data challenges – from fragmented infrastructure to increased regulation, product complexity and market volatility. As the regulatory and market environment demands increasingly complex calculations and the volume of data being collected grows, so too do rising expectations of accuracy and frequency of calculations for analysis and reporting.

As banks move from Value at Risk (VaR) to

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