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List of FIS Global Investment Risk Manager Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Alpha Centauri Germany Banking and Financial Services 15 $7M Germany FIS Global FIS Global Investment Risk Manager Portfolio and Investment Risk Management 2010 n/a In 2010 Alpha Centauri Germany implemented FIS Global Investment Risk Manager to build a research and portfolio-construction infrastructure for European factor and index strategies. FIS Global Investment Risk Manager was deployed to provide Portfolio and Investment Risk Management capabilities within the firm, directly supporting the investment function for pre-trade evaluation and index design. The implementation emphasized research and portfolio-construction modules, with configured workflows for pre-trade risk analysis and factor beta discovery. The deployment supported model-driven portfolio assembly and ex ante risk metric generation that fed investment decisioning and factor identification processes. Operational coverage targeted European factor and index strategies and enabled the production of multiple STOXX-linked factor indices, with the platform used by the investment team for factor discovery and index construction. The rollout occurred around 2010 to 2011 and centered on investment desk workflows rather than enterprise-wide systems. Governance focused on index production controls and research-to-production handoffs, aligning model outputs with index reporting and publication. Outcomes reported in the client story include an ex ante tracking error of approximately 3% and average excess returns of 2.75% in the first nine months following index launches.
Martin Currie Banking and Financial Services 200 $29M United Kingdom FIS Global FIS Global Investment Risk Manager Portfolio and Investment Risk Management 2011 n/a In 2011, Martin Currie implemented SunGard APT, now known as FIS Global Investment Risk Manager, as its Portfolio and Investment Risk Management platform for buy side portfolios in the United Kingdom. The deployment targeted automation of daily, weekly and monthly risk reporting and the provision of pre trade decision support to embed risk analytics into investment decisions. FIS Global Investment Risk Manager was positioned to serve portfolio managers and risk control teams within the firm's investment function. Configuration focused on risk analytics and reporting modules to produce routine risk dashboards and pre trade analytics aligned with portfolio workflows. The implementation integrated risk outputs into investment decision processes and scheduled reporting cadences used across UK operations, centralizing risk data for consistent operational use. Governance activity emphasized incorporation of risk reports into portfolio management workflows and the establishment of regular reporting and review cycles.
Sanlam Investments Banking and Financial Services 2000 $500M South Africa FIS Global FIS Global Investment Risk Manager Portfolio and Investment Risk Management 2012 n/a In 2012, Sanlam Investments implemented FIS Global Investment Risk Manager to centralize portfolio risk analytics and strengthen its Portfolio and Investment Risk Management capabilities. The deployment targeted Sanlam Multi Manager International's quantitative workflow and the investment operations that support portfolio optimization and manager selection. The FIS Global Investment Risk Manager deployment emphasized the application's core risk calculation engine, portfolio analytics, scenario analysis, and exposure reporting, aligning with typical Portfolio and Investment Risk Management functionality. Sanlam Multi Manager International previously used a SunGard APT risk engine accessed via a MATLAB COM interface to generate the risk metrics that fed a quantitative risk dashboard, and the mapping of SunGard functionality to FIS Global Investment Risk Manager is inferred from the SunGard to FIS product lineage. Integrations included the MATLAB-based quantitative toolset that produced faster calculations and wider distribution of models across the team, as documented in the MathWorks case study. Operational coverage focused on the quantitative investment team and portfolio management workflows, supporting manager selection and portfolio optimization decisions. Governance activities concentrated on consolidating risk metrics into a quantitative dashboard, standardizing model access, and harmonizing reporting across investment teams. The MathWorks case study explicitly reports materially faster calculations and wider deployment of quantitative tools across the team, outcomes drawn directly from the provided source.
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