Volatility Quantitative Researcher; Miami

Volatility Quantitative Researcher (Miami) (Full-Time)

Miami

Position: Quantitative Researcher (Full-Time)

Location: Miami, Florida

Walleye Capital is a ~$13 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 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.

Walleye Capital is seeking a motivated and technical Quant Researcher to join the Equity Volatility team in Miami. The ideal candidate will possess strong statistical, analytical, and modelling skills. This role offers the opportunity to work with portfolio managers, research, and technology teams to research, design, and automate alpha trading strategies, and completely automate strategy execution.

• Work with traders and quants to research, design, and automate alpha trading strategies
• Manipulate proprietary and public data to build custom data sets for use in research and model development
• Build predictive models of asset prices over short, medium, and long term frequencies using simple and advanced regression techniques, including machine learning
• Assist portfolio manager in building portfolio optimization tools to monetize trading signals and manage risk
• Work with portfolio manager and technology teams to completely automate strategy execution

• Proficiency in statistical analysis and modelling of time series financial data in Python is required
• Basic understanding of financial instruments including stocks and options
• Role is open to new graduates or first-time finance jobs
• Strong communication skills, such as ability to clarify task requirements, communicate research findings, and propose solutions to challenges are required
• Commitment to thorough, accurate 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