Algorithmics launches pension risk management solution
30 May 2012 New York, London and Toronto
Image: Shutterstock
Algorithmics, an IBM Company, has launched a new edition of its existing solution, Portfolio Construction and Risk Management for Pension Funds, to help pension funds better manage their funding status.
Algorithmics has recently signed the Alberta Teachers鈥� Retirement Fund Board (ATRF) as a client for the new edition of the solution.
Derek Brodersen, chief investment officer of ATRF, said: 鈥淧ension funds are increasingly being required to meet higher standards for risk management.
"With Algorithmics we have a solution that helps us address our fiduciary requirements. Our former risk advisory service used Algorithmics as its technology platform so we are familiar with the software and the quality of risk analytics to help set and monitor our performance against agreed risk targets and limits.鈥�
Dr Andrew Aziz, executive vice president of buy-side risk solutions at Algorithmics, commented: 鈥淧ension funds are facing more complex and volatile markets. While this requires sophisticated understanding of investments and risk, many smaller funds lack specialised staff, data and infrastructure to meet evolving needs.鈥�
Algorithmics has recently signed the Alberta Teachers鈥� Retirement Fund Board (ATRF) as a client for the new edition of the solution.
Derek Brodersen, chief investment officer of ATRF, said: 鈥淧ension funds are increasingly being required to meet higher standards for risk management.
"With Algorithmics we have a solution that helps us address our fiduciary requirements. Our former risk advisory service used Algorithmics as its technology platform so we are familiar with the software and the quality of risk analytics to help set and monitor our performance against agreed risk targets and limits.鈥�
Dr Andrew Aziz, executive vice president of buy-side risk solutions at Algorithmics, commented: 鈥淧ension funds are facing more complex and volatile markets. While this requires sophisticated understanding of investments and risk, many smaller funds lack specialised staff, data and infrastructure to meet evolving needs.鈥�
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