Research Intern - Summer 2027
WisdomTree
With an account: save jobs, track applications, build tailored resumesAlready have an account? Log in
- Pay
- $25 to $35
- an hour
- Location
- New York, NY
- Work style
- Hybrid
- Job type
- Internship
- Posted
- Oct 21
- 2 days ago
Career path
See where this role leads
Jigup maps the next three moves from a job like this one, with the titles and the skills each step asks for.
About the company
WisdomTree
Investment management · 51 to 200 employees
What you'll do
- 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,
Key skills
financial datastatistical methodsprogramming skillsmachine learningAIanalytical tools
Keywords for your resumePro
The words this employer's screening is likely to look for.
This job lists resume keywords
The terms this posting uses, pulled out so you can mirror them in your resume. Jigup Pro members see the list on the job board.
See full description on company page, apply now
Read the full posting here
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.