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WisdomTree Europe is an exciting and growing leader in the European ETF industry. We are hiring a full-time associate within our European Research Team based in London. This candidate will support the research team in developing new investment strategies and creating distribution-oriented research. The successful candidate will help develop WisdomTree Quantitative Research capabilities overall.
Key Accountabilities and Scope
- Act as support for the Research desk in its day-to-day activities
- Develop distribution-oriented research across asset classes, particularly as it relates to supporting and explaining the value proposition of our existing strategies.
- Help develop data infrastructure and quantitative tools to support research effort across the company
- Conduct rigorous quantitative research to enhance or develop new investment strategies that have a compelling investment proposition
- Collaborate on academic research to help build WisdomTree’s brand in this space for European clients.
Skills and Qualifications
- Master’s degree in Finance, Math, Computer Science, or Machine Learning/AI-oriented discipline.
- 2+ years plus financial services experience, preferably in Asset Management, Index development, and/or equity research.
- Comprehensive understanding of financial mathematics and derivatives
- Excellent quantitative skills
- Experience with Machine Learning/AI is a strong plus
- Proficiency in Python and SQL
- Experience working with unstructured datasets a strong plus.
- Strong written and verbal communication skills in English
- High attention to details
- Professional proficiency in one or more European languages (e.g. French, German, Italian) is an advantage.
- Familiarity of various industry tools (i.e. Bloomberg, Morningstar) is appreciated
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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