Quantitative Researcher, Single Stock Volatility

Walleye Capital is a $17 billion+ multi-strategy investment firm headquartered in New York City, with over 400 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Volatility, Fundamental Equities, and Quant 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. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.

We are seeking a Quantitative Researcher to join our Single Stock Volatility team in Miami. This role partners closely with the Head of Equity Volatility, Portfolio Managers, Quantitative Researchers, and Technology teams to research, develop, and automate alpha-generating trading strategies. The ideal candidate will have strong statistical, analytical, and modeling skills, with a passion for quantitative research and systematic investing.

Responsibilities:

• Research, develop, and automate alpha-generating trading strategies alongside the Portfolio Manager and quantitative researchers.
• Build and maintain proprietary datasets for research and model development.
• Develop predictive models across short-, medium-, and long-term horizons using statistical and machine learning techniques.
• Build portfolio optimization tools to monetize trading signals and manage risk.
• Partner with technology teams to automate strategy execution.

Qualifications:

• Proficiency in Python and statistical modeling of financial time series.
• Basic understanding of equities and options.
• Bachelor's or advanced degree in Mathematics, Computer Science, Engineering, or another quantitative discipline.
• Open to new graduates and candidates with up to two years of relevant experience.
• Strong communication skills with the ability to clearly present research findings and collaborate across teams.
• High attention to detail and commitment to producing accurate, high-quality work.

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. 

If you require a reasonable accommodation to participate in any part of our hiring process, please contact hr@walleyecapital.com

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