Head office: 185 Spadina Avenue, Toronto, Ontario M5T 2C6, Canada Tel: +1 416 217 1500 Email: info@algorithmics.com Other offices: Regional headquarters in London, Mexico, New York and Singapore, plus sales centres in Barbados, Beijing, Boston, Dubai, Frankfurt, Hong Kong, Johannesburg, Madrid, Milan, Paris, Philadelphia, São Paulo, Sydney, Taipei, Tel Aviv, Tokyo, and Vienna Website: www.algorithmics.com Twitter: @IBM Contacts: John Macdonald (executive VP, sell-side business, marketing), Dr Andrew Aziz (executive VP, buy-side business) Founded: 1989 Ownership: Acquired by the Fitch Group in 2005. Sold to IBM in 2011 Number of staff: 800+ Financials: Revenue for the year was $90 million, a 20.8 per cent increase from the previous year. Of this, EMEA contributed $54.7 million, followed by North America ($16.7 million), Asia Pacific ($14.6 million) and Latin America ($4 million)


of capital and scenario testing. Launched in March 2011, it is intended to constitute an automated alternative to the types of static reports that banks are already producing on a largely manual basis. A first taker had apparently been signed by June as part of an enterprise risk deal at a large bank. A second taker had only one Algorithmics component and was set to implement the dashboard across a wide range of third party offerings. The initial release used Business Objects but it had also been tested with IBM’s Cognos tools and was meant to be agnostic from this perspective. The traditional perception of Algorithmics was as a


provider of large systems for large banks, thereby bringing large projects and high costs. Its suite still has its original Risk Watch platform at its heart. However, the company has done a lot of work to componentise its solution, to deliver smaller instances, as well as pre-configuring and providing pre-set models, ‘out of the box’. It has also sought to make it easier to import and export data. And, reflecting overall industry trends, there has been an effort to connect the risk applications with decision-making. The emphasis is on ‘risk-aware business applications’, in the words of John MacDonald, the vendor’s VP for global sales and marketing, aiding better decision-making, including around capital and liquidity. Algorithmics certainly has a broad suite, developed over


the years and with a few areas filled via acquisitions. Solutions offered comprise: Algo ALM – This is designed to enable users to aggregate,


measure, monitor and restructure market and liquidity risk on the balance sheet. Assessing earning sensitivity and future market valuation, as well as liquidity risk, it is supported by an analytical framework with common scenarios, growth and reinvestment assumptions, as well as common cash flow generation and valuation models. Algo Collateral – Using an automated data management system, this is designed to aid the identification and management of risk across an enterprise. There are also optional extensions for OTC derivatives margining, repo margining, and securities lending margining. Algo Collateral Decision Support – The concentration and eligibility checking tools can be used as a controlled


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environment to simulate the effects of taking new collateral, prior to accepting it. Automated notifications can be integrated into the workflow, notifying collateral managers when concentration limits have been broken, and when collateral is no longer eligible. Algo Credit Administrator – This is intended to define and manage all stages of the credit process across an enterprise. It is designed to support the tracking and management of deal- related documentation, promote internal compliance, and assist with the management of the credit committee process. Algo Credit Economic Capital – This is focused on risk- based economic capital calculations. Algo Credit Exposure – Designed to measure and manage counterparty credit risk, this is intended to support the real- time demands of operations while addressing all areas of Basel II for the trading book. Algo Credit Limits – Enabling users to view and manage consolidated risks across all exposures, there is also the ability to drill down to view the exposure to a single customer relationship, vertical sector, product or geographic market. Algo Credit Regulatory Capital – This is designed to enable the generation of Basel II credit regulatory capital calculations across an enterprise. Algo FIRST – This is a database of external risk loss events


that are intended to enable the proactive management of operational risk. It is a web-based service available by annual subscription. BMO Financial Group in Canada is among the users.


Algo Liquidity Risk – This is designed to offer an integrated scenario-based framework to help banks gain a more accurate picture of liquidity positions across the enterprise. Algo Market Analytics – Supports market risk capital


measurement, management and mark-to-market, enabling the calculation of minimum capital under standardised and internal model approaches. It captures and consolidates exposures arising from multiple risk factors including interest rates, equity markets, credit spreads, volatilities, FX, power and commodities. Algo OpData – This quantitative loss database holds publicly-reported operational risk losses to support the


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company details


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