Better Financial Risk Management with Hadoop - Seguridad Mania.com - España y América Latina

Improper and inadequate management of a major kind of financial risk – liquidity risk, was a major factor in the series of events in 2007 and2008 which resulted in the failure of major investment banks including Lehman Brothers, Bear Stearns etc resulting in a full blown liquidity crisis. Inadequate IT systems in terms of data management, reporting and agile methodologies are widely blamed for this lack of transparency into risk accounting – that critical function – which makes all the difference between well & poorly managed banking conglomerates. Indeed, Risk management is not just a defensive business imperative but the best managed banks can understand their holistic risks much better to deploy their capital to obtain the best possible business outcomes. Since 2008, a raft of regulation has been passed by global banking regulators like the BCBS, the US Fed and others. These include the Basel III committee regulations, BCBS 239 principles on Risk Data Aggregation, Dodd Frank Act, the Volcker Rule,CCAR etc. Leading Global Banks are now leveraging Apache Hadoop and it’s ecosystem of projects to create holistic data management and governance architectures in support of efficient risk management across all the above areas. This webinar will discuss the business issues, technology architectures and best practices from an industry insiders perspective.