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Equity Volatility Quant Researcher Intern (Summer 2027)
Walleye Capital · Single Stock - Volatility
- Where
- Miami, FL
- Posted
- Jun 1
Position: Equity Volatility Quant Researcher Intern (Summer 2027)
Location: Miami, FL
Firm Overview:
Walleye Capital is a ~$17 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies.
At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way.
What you'd do
- Build a strong foundation in options markets through both an academic and a practitioner’s lens.
- Keep up to date on major macro developments and market-moving headlines, with a focus on understanding their implications for trading decisions and portfolio risk.
- Collaborate with seasoned portfolio managers and quantitative researchers specializing in single-stock and index volatility strategies.
- Perform various quantitative research tasks and projects using large-scale volatility datasets.
- Enhance research infrastructure and tools for trading and risk management, with an emphasis on leveraging AI.
- Are pursuing an undergraduate or non-MBA advanced degree in a quantitative field, with an expected graduation date between December 2027 and June 2028.
- Possess strong programming skills—particularly in Python —and hold experience working with large datasets, APIs, or databases.
- Demonstrate rigorous analytical thinking with a strong knowledge of probability & statistics (time-series analysis, machine learning, optimization).
- Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team.
- Exhibit a genuine interest in financial markets, risk taking, and using technology in dynamic, data-rich environments.