Quantitative Alpha Research Intern
vor 3 Wochen
**Your team**:
- Pictet Asset Management 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.**Your role**:
- Main responsibilities:
- Following quant academic and broker research on alternative data
- Working on building QAR back-testing platform with the supervision of a Senior Quant Analyst
- Researching and back-testing alternative data ideas
- Documenting and presenting the results of conducted research
- Developing analytical and visualization tools to support fundamental investment managers with 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 will be a plus
- Familiarity with both fundamental and quantitative equity investing will be a plus
- Previous experience in asset management will be a plus
- Must be resident in Switzerland or willing to relocate
**Note**:
- Start date : ideally January-February 2025- REF : QARI/CT/PM- 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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