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Chartis recognizes SS&C Algorithmics Balance Sheet Risk Management

Written by Neil Dodgson | Feb 25, 2021 12:07:00 PM

Chartis Research has released their ALM Technology Systems 2021 report, providing an analysis of the market and vendor landscape for asset and liability management (ALM). SS&C Algorithmics Balance Sheet Risk Management solution is ranked as a leader in each of the four RiskTech Quadrants included in the report:

  • ALM Solutions Quadrant 2021 – Category Leader
  • FTP Solutions Quadrant 2021 – Category Leader
  • LRM Solutions Quadrant 2021 – Category Leader
  • Capital & Balance Sheet Optimization Solutions Quadrant 2021 – Category Leader

Download the full "ALM Technology Systems, 2021: Market and Vendor Landscape" report.

This recognition builds on the same solution being awarded Bank ALM system of the year at the 2020 Risk Technology Awards where judges commented: “SS&C Algorithmics ALM provides rich and comprehensive integrated functionality. It makes good use of technology, both current and older, which is pragmatic for a pluralist and diverse global user base. … The company demonstrates that innovation is a continuous process.”

Responding to the ranking, Director of Balance Sheet Risk Management at SS&C Algorithmics, Steven Good commented:

“We are pleased to see yet another example of analysts recognizing SS&C Algorithmics Balance Sheet Risk Management’s comprehensive functionality and market-leading technology.

Our clients worldwide have been benefiting from our capabilities to both comply with regulation and better manage their balance sheet risk. Our solution provides intuitive browser user interfaces for product modeling, behavioral assumption definitions and in-memory reporting. At the same time, banks are improving performance, running end-to-end with tens of millions of granular transactions and reducing total cost of ownership by leveraging modern technology such as Big Data and Cloud.”

To learn more about SS&C Algorithmics Balance Sheet Risk Management, download our "SS&C Algorithmics Balance Sheet Risk Management" brochure.