Research Intern - Summer 2027

WisdomTree is seeking a Quantitative Research Intern to support the development and evaluation of systematic investment strategies. Working closely with the Research team, the intern will apply financial data, statistical methods, and programming skills to investment questions relevant to new and existing WisdomTree products.

The intern will contribute to ongoing research initiatives under the guidance of the team, with opportunities to propose and explore independent research ideas. The role also provides exposure to the practical application of machine learning, AI, and analytical tools in asset management.

Key Responsibilities

• Support the Research team in developing and testing investment hypotheses, with opportunities to pursue an independent research project.
• Analyze financial datasets to investigate investment signals, evaluate strategies, and assess market behavior.
• Review academic and industry research to identify ideas for replication, extension, or application to WisdomTree’s investment strategies.
• Build and test quantitative models in Python, applying statistical and machine learning methods where appropriate.
• Collaborate with the team to assess the robustness, economic relevance, and limitations of research findings.
• Contribute to research tools, data workflows, and analytical processes.
• Document research methods and present findings and recommendations to the Research team,

Qualification & Skills

• Academic background in finance, economics, mathematics, statistics, computer science, or a related quantitative discipline.
• Strong Python programming skills, including experience with pandas, NumPy, or similar data analysis libraries.
• Foundation in statistics and experience applying quantitative methods through coursework, research, or independent projects.
• Strong interest in financial markets, systematic investing, and empirical research.
• Ability to formulate hypotheses, critically evaluate results, and communicate conclusions clearly.
• Strong analytical and problem-solving skills with attention to detail.
• Intellectual curiosity and the ability to work independently while collaborating with a research team.