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qloud

Trading Profit & Loss Attribution


  • We designed and built a SQL Server database to centralise over 100 data feeds coming from various areas of the bank.
  • We calculated where P&L was coming from.
  • We created a desktop application to allow users to control ETL, data sourcing and static data.
  • We created an application to report on the results.
    Client:
    Large British Bank
    Date:
    January 2014 - February 2016
    Technologies:
    SQL Server, C#, WPF Desktop Application, C# Windows Services
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Bank Balance Sheet

Big Data, Reporting and Optimisation
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Bank Deposit Management Software

Data aggregation, Big Data, Reporting and Business Intelligence
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Basket Management Software

Trade workflow automation software
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Financial Modelling

Making an investment decision
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Custom ETL

High performance custom ETL application
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