Mitigating IT Risk for Financial Risk Analytics

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Financial Risk Analytics has evolved beyond a secondary regulatory and cost-focused perspective, to become a core part of businesses. Today, Risk Analytics provides a competitive edge by enabling businesses to efficiently use capital and manage risk exposures with higher confidence to make better informed and timelier business decisions. Hence CEOs increasingly rely on their CFOs and their Chief Risk Officers (CROs) for strategic advice and active risk management.
Risk Analytics using simulation-based tools provides a powerful, flexible and accurate way of assessing credit, market and liquidity risks. Simulation techniques can effectively handle a wide range of market conditions, complex portfolios comprised of a variety of instruments including derivatives that involve collateral, margins and counter-party agreements. Many firms view IT infrastructure investments for Risk Analytics as a competitive differentiator critical to promoting enterprise-wide sharing of risk information with holistic risk governance. But IT is also a source of risk - lack of adequate security, performance and disaster recovery must be mitigated.
IBM Algorithmics provides sophisticated analyses of different economic scenarios that help firms better quantify risk for a single department or firm-wide across a common set of market scenarios. With Algorithmics, firms have a better handle on their financial exposures, market and credit risks before they finalize transactions. Assessing intraday risks with greater confidence can help boost a firm’s profitability and growth.

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