If your firm holds structured financial instruments, such as asset-backed securities (ABS) and mortgage-backed securities (MBS), you are likely feeling both the effects and costs of increased regulatory scrutiny. With mounting regulatory pressure for transparent, auditable and consistent valuation and analysis of portfolios of ABS, MBS and covered bonds, you need an automated system to value, monitor and manage the risk of your structured assets.
Using our proven expertise incorporating complex instruments into legacy risk applications, we created our Structured Finance Risk Manager (SFRM) solution to help risk managers and analysts save time and improve decision-making. The SFRM solution:
SFRM is customizable to your firm’s specific requirements. We align the system to your firm’s needs by offering complementary services for data integration and risk model design and development. The result is a robust risk management solution that will help your firm ensure compliance, better manage risk, improve productivity and enhance decision-making.

Using our proven expertise incorporating complex instruments into legacy risk applications, we created the SFRM solution to help risk managers and analysts save time and improve decision making. SFRM combines automated monitoring with ad-hoc analytical capabilities that:
SFRM also includes interactive functionality that enables you to:
The Sapient Advantage
With SFRM, Sapient Global Markets helps companies:
Ensure compliance - SFRM provides the transparency and audit trails needed to meet new mandates and comply with impending directives
Better manage risk - Leveraging existing resources from data providers, SFRM generates consistent and easy-to-read metrics across various risk categories
Improve productivity - Analysts and risk managers can leverage SFRM’s automated functionality and the ease of use associated with a single consolidated platform, eliminating reliance on spreadsheets and other manual approaches
Enhance decision making - SFRM allows you to run multiple ‘what if’ stress scenarios and enables modeling of counterparty defaults to calculate exposure
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