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6 month contract with the option to extend based on performance and client requirementsQualifications: Bachelor`s Degrees and Advanced Diplomas in Information Technology and Computer Sciences Essential experience: 3-5 years of experience in the investments industry; Python programming languageTo spec, design, develop, test and document processes to import all retail performance , segregated portfolio performance and peer fund performance and their respective benchmarks into one system.
Motivation: Excellent Morningstar analytics and report automation capabilities; Franchises can leverage off both the collation of performance and the Morningstar report automation capabilities for periodic client reporting.Segregated fund performance – build an automated process to import all segregated fund performance into Morningstar. Alexander Forbes Institutional Fund performance – build a process to import all segregated fund performance into Morningstar. Composite benchmark performance – build a process to import all composite benchmark performance into Morningstar.To spec, design, develop, test and document processes to import, store and extract both quantitative and qualitative peer relevant data into a data warehouse. Outcome: Data storage in SNOWFLAKE/ONESOURE or Morningstar of all peer asset allocations; and other no quantitative peer relative information. Motivation: The storage of accurate peer asset allocations is becoming an increasing need within the business for reporting, analytical and portfolio construction purposes.Extract both quantitative and qualitative information from Fund Factsheets/MDDs.Build functionality to extract this information into Excel . To spec, design, develop, test and document processes to import both dynamic and static portfolio and portfolio holdings information into external systems.Motivation: Both Morningstar and Bloomberg have extensive holdings based analytical capabilities that we are not fully utilising and can benefit more than one business unit.Automate the loading of the data Morningstar/Bloomberg.
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