Shin Kong Financial Implements Risk Management Solution Provided By Algorithmics

Shin Kong Financial Holding Co, Ltd (SKFH), the Taiwanese financial services group, has successfully rolled out the first phase of Algorithmics' enterprise market risk implementation across the entire organization, in what is one of the most advanced implementations in Taiwan.

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Shin Kong Financial Holding Co, Ltd (SKFH), the Taiwanese financial services group, has successfully rolled out the first phase of Algorithmics’ enterprise market risk implementation across the entire organization, in what is one of the most advanced implementations in Taiwan. SKFH is a financial holding company providing life insurance, banking, securities brokerage and investment trust services.

The scope of the SKFH’s Algo Market Analytics implementation is group wide including transactions for four of the SKFH entities. Phase 1 of the project was completed on time and on budget, and it was focused on the implementation of a VaR process and stress testing for both domestic and international activities. In Phase 2, SKFH will implement additional classes of complex financial instruments.

“We knew that in selecting Algorithmics for our market risk solution, SKFH had the potential to establish itself as the leader in the region,” says Grace Chu, CRO at SKFH. “We have found that our project team has been able to develop a strong relationship with Algorithmics and that our requirements have been fully captured in the implementation; we are very pleased with the results. The reports that are generated are able to provide our senior management, for the first time, with a holistic view of financial risk across all of our different businesses.”

“Algorithmics would like to congratulate everyone involved at SKFH on their successful rollout, which is one of the fastest market risk implementation projects in the region,” says Andrew Aziz, executive vice president of risk solutions at Algorithmics. “With Algo Market Analytics, SKFH is able to enhance its decision-making processes and to benefit from best practice risk management capabilities. We are very pleased with the excellent working relationship we have with SKFH and congratulate the SKFH and Algorithmics teams who have contributed to this success.”

D.C.

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