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Finance Data Analyst

3 months ago

Richmond Hill, Ontario, Canada Akkodis Full time
Job description

What you will do:

  • Understand and extract relevant data from valuations Excel and pdf files (cash flows, macro drivers, terminal values and multiples, discount rates, equity beta, debt equity ratios, list of peers, peers multiples, etc.)
  • Research and propose portfolio and deal statistics and corresponding visuals use cases
  • Provide feedback on how the existing databases can accommodate adding new deals and whether anything else of relevance is available that was not already planned for
  • Run existing Python code to update data for internal dashboards, improve code and existing database structure if needed
  • Build visuals in PowerBi dashboards

What you will need:

  • A degree (bachelor or graduate) with at least one Corporate Finance and one Investments course (CFA Level II or business exposure to privates' valuation process are considered equivalent)
  • Previous experience with relational databases and unstructured data as well as basic programming (any one of VBA, Python, R, Java, C#, Matlab, SQL, etc. or a course in Statistics or Econometrics are considered equivalent)
  • Ability to understand how data is aggregated at portfolio level as well as nonlinear attribution of valuation changes.
  • Detail oriented, methodic, well organized, and solid mathematical skills are a must.