Data Engineer (on a six-month internship)

Location: Geneva, GE

*** Mention DataYoshi when applying ***

Your team

Pictet Asset Management (Pictet AM) manages the assets of some of the world’s largest institutions, financial intermediaries and their clients. Our culture welcomes independent thinkers and places emphasis on investment excellence, a long-term perspective and dedication to client service.
As part of the Geneva-based Equities department, you will work in our dynamic and enterprising Total Return Corto team, composed of three investment professionals who manage a long/short equity strategy with a fundamental approach to identifying opportunities across the European universe, focusing on mid-cap stocks. As a Data Engineer you will help develop the dashboards which are key for guiding this team in their investment decisions. You will be given the opportunity to be closely involved in the investment decision process using your data-driven input to generate returns.

Your role

  • Programming data extraction to feed dashboards with specific information relevant to various companies and sectors.
  • Developing the automation of this data extraction.
  • Delivering information in a clear and concise manner to make them actionable for investment purposes.

Your profile

  • Pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics (EPF, university, Hautes Ecole d’Ingénierie, or similar) or in Econometrics, with a background in programming or software development.
  • Working knowledge of business intelligence tools such as Tableau.
  • Knowledge of data analytics and data mining.
  • Knowledge of SQL and at least one database system.
  • A solid grasp of Python and VBA would be a definite plus.
  • Basic financial knowledge an asset.
  • Fluent in English.
  • Strong organisational skills with a keen attention to detail.
  • Dynamic, enthusiastic and hard-working.
  • Must be resident in Switzerland or willing to relocate.


We will not accept any CVs via agencies


*** Mention DataYoshi when applying ***

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