Position: Internship

Job type: Internship

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Job content

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 centres around investment excellence, a long-term perspective and a dedication to client service.

We are offering an internship in our Total Return unit in Geneva to contribute to our team’s efforts in providing the investment committees of the Total Return multi-strategy business with the transparency and insights needed to allocate capital to the various strategies as well as supporting managers of the Total Return business with quant tools and producing quant-driven alpha signals.

Your role
  • Following quant academic and broker research.
  • Working on acquiring, integrating, and cleaning up external and internal data.
  • Conducting quant research in portfolio optimisation, crowding and alternative alpha.
  • Studying the active investment themes that become most popular in our multi-strategy funds.
  • Documenting and presenting the results of research conducted.
  • Developing analytical and visualisation tools to support fundamental investment managers with quantamental and alternative data

Your profile
  • Master’s or PhD degree in Statistics, Mathematics, Quantitative Finance, Computer Science, or a related field.
  • Coding experience in Python, good knowledge of basic data science libraries (e.g. pandas, NumPy, scikit-learn, SciPy, plotly, etc.).
  • Good knowledge of SQL; familiarity with snowflake would be a plus.
  • Familiarity with both fundamental and quantitative equity investing.
  • Experience in asset management would be a plus.
  • Fluent in English.
  • You must be resident in Switzerland or willing to relocate.

Note

We will not accept any CVs via agencies

Diversity & Inclusion

Pictet is an equal opportunity employer and is committed to creating a diverse environment. We respect all individuals and seek their inclusion in the workplace.
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Deadline: 13-05-2024

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