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Systems Support Analyst - Asset Management

  • Location


  • Sector:

    Regulatory, Risk & Compliance

  • Job type:


  • Salary:

    £550 - £650 per day

  • Contact:

    Jon Garrod

  • Contact email:


  • Contact phone:


  • Job ref:


  • Published:

    over 1 year ago

  • Duration:

    12 months

  • Expiry date:


  • Startdate:


Are you an experienced Systems Support Analyst/Business Systems Analyst with a background in Asset/Investment Management? Do you have experience working with and providing support to Front Office teams? Can you demonstrate previous experience in supporting users of Charles River across the investment process? Then look no further!

In this initial 12 month contract role you will be working for an International Asset Management firm, acting as the primary contact for support queries within the systems team during the completion of a system upgrade project. Your duties will include:

  • Provide the first line of support to all users of investment systems. Provide direct assistance or escalate through appropriate channels to get resolution.
  • Support order creation, dealing and post trade workflow queries
  • Attend Front Office Development agile sprint planning, daily scrum and sprint review meetings
  • Provide updates on UAT and queries raised by development team in daily FOSS sprint
  • Produce a high standard of documentation (both of processes and functionality) when required
  • Update JIRA to document and provide updates on current work
  • Provide MI to manager as and when required
Essential Requirements:

  • Experience in supporting users of Charles River across the investment process
  • Previous experience supporting users of Blotters and Manager Workbench
  • Understanding of investment process and different asset classes
  • Experience in developing and executing test plans

  • Experience in configuration of FIX connections
  • Experience in support the use of EMS platforms
  • Understanding of Charles River Compliance Rule coding functionality
  • Ability to create basic SQL queries to analyse data