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    Hrvoje Kajzer

    Senior Sales Manager

    Tel.: +43 676 88 241 - 5182


    Alexander Birkl

    Leading Key Account Manager

    Tel.: +43 676 88 241 - 3804


    Software Daten Service GmbH, T-Center, Rennweg 97-99, 1030 Vienna, Austria   DIRECTIONS TO SDS
    Tel.: +43 1 24056-0 Fax: +43 1 24056-5930 E-Mail: info@sds.at   ALL CONTACT DETAILS

    i:Reg – the reliable software for Qualified Intermediary (QI) reporting


    Use this solution to automatically document and submit all required reports for the withholding tax concerning asset income.
    The Qualified Intermediary regime (more precisely, reporting under Chapter 3 and Chapter 4 Internal Revenue Code) was introduced by the US tax authority in 2001 and required the tax retention as well as reporting for payments from US-American securities up to the reporting year 2016. As of reporting year 2017, derivatives with US-American underlying instruments are also covered by the QI regime. Almost all financial intermediaries worldwide who trade with US American securities and act as custodian are affected by this obligation.


    The solution: i:Reg – the reporting platform for QI reporting and more

    i:Reg offers the possibility to automatically create the reports necessary (from the group 1099, 945 (for US citizens) as well as 1042-S and 1042 (for non-US citizens)) as well as individual and pool reports. Moreover, the creation of paper reports and FIRE files is supported according to the standards of IRS. Of course these reports are always consistent between Chapter 3 (FATCA) and Chapter 4 (QI) upon the simultaneous creation of FATCA reporting files via i:Reg.

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    SDS Webinar Optimising: FATCA/CRS Reporting : Utilization of reporting data for business intelligence and process optimisation FATCA/CRS reporting is now in "Business as Usual" mode and tax teams have already begun thinking about further streamlining of reporting processes, and/or partially outsourcing the process.In particular for large-scale operations and service providers, good quality control, plausibility checks and data validation is essential.