IBM To Acquire Algorithmics

IBM has announced a definitive agreement to acquire Algorithmics for $387 million, subject to price adjustments at closing. Algorithmics is a risk analytics firm with operations in Toronto, Canada. Algorithmics risk analytics software, content and advisory services are used by banking, investment and insurance businesses to help assess risk, address regulatory requirements and make more insightful business decisions. Algorithmics is a member of Fitch Group, which is majority owned by Fimalac, a holding company based in Paris, France.

This acquisition expands IBM’s business analytics capabilities in the financial services industry by helping clients quantify, manage and optimise their risk exposure across a range of financial risk domains, including market, liquidity, credit, operational and insurance as well as economic and regulatory capital.

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Across the financial industry, integrated risk management continues to be a challenge – made even more pressing by regulations triggered in response to the global financial crisis. Financial practitioners are tasked with making split-second decisions by analysing activity happening both within their corporations and from other market forces. With the combination of IBM and Algorithmics analytics, companies can measure and assess operational risk associated with lending processes, market and credit risk exposures. Having this type of transparency and granular insight of financial risk in advance can help organisations meet new regulatory requirements.

More than 350 clients, including 25 of the top 30 banks and more than two-thirds of the CRO Forum of leading insurers, use Algorithmics analytics software and advisory services. Clients include The Allianz Group, BlueCrest, HSBC, Nedbank, Nomura, Societe Generale, and Scotia Capital.

“Today’s economic environment demands that financial institutions have more cash on hand, a better understanding of their financial standing and the ability to deliver more transparency to stakeholders,” said Rob Ashe, IBM General Manager, Business Analytics. “Combining Algorithmics expertise with IBM’s deep analytics portfolio will allow clients to take a more holistic approach to managing risk and responding to economic change across their enterprises.” IBM’s agreement with Algorithmics reinforces that companies are looking to reduce independent silos to gain an enterprise-wide view of risks for strategic planning, operations and new growth opportunities.

“It is increasingly important to deliver integrated solutions that provide a deep understanding of risk and enable effective decision support at the same time as meeting rapidly evolving regulatory requirements. The need to have the right information at the right time is fundamental to developing and managing business strategies,” said Dr. Michael Zerbs, president and COO, Algorithmics. “Combining Algorithmics’ thought leadership, technology, content and services with IBM’s globally recognised analytics business will help a broader group of clients improve their business performance based on a deeper understanding of risk.”

Algorithmics risk analytics software and services combined with IBM’s acquisition of OpenPages and recent investments in predictive analytics will provide clients with the broadest range of business analytics solutions.

Algorithmics risk advisers will enhance IBM’s Business Analytics and Optimisation practice. The Business Analytics and Optimisation team has more than 8,000 consultants including 200 mathematicians with more than 500 patents and a network of analytics solution centers, backed by an overall investment of more than $14 billion in acquisitions in the last five years. Algorithmic’s focus on credit, market and liquidity risk, as well as key customers in operational risk, will strengthen and expand IBM’s risk consulting services.

The acquisition is subject to applicable regulatory clearances and other customary closing conditions. With the closing of this acquisition, approximately 900 Algorithmics employees will join IBM’s Software Group.