Quantitative Researcher, Equity Volatility

Firm Overview

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 an experienced Quantitative Researcher with a focus on equity derivatives to join our team. The ideal candidate will possess a strong background in derivative pricing models and have a deep understanding of the financial markets. This role involves working with both existing and new models, as well as related tools, to support our volatility trading business.

• Model development: Build and maintain pricing and analytics tools for a variety of volatility products.
• Technical support: Provide front-line support for users of available tools and models.
• Data analysis: Utilize and extend rich data sets to identify further improvements.

• Education: Master’s degree or Ph.D. in quantitative fields such as Finance, Mathematics, Statistics, Physics, or Engineering.
• Experience: 4+ years working directly with derivative pricing models in a high-performance trading environment, with 8+ years preferred.
• Technical skills: Proficiency in financial modeling and quantitative analysis, particularly related to equity derivatives.
• Programming: Experience with programming languages such as Python, R, Java, or C++.
• Analytical skills: Strong analytical and problem-solving skills with attention to detail and the ability to work with complex data sets.
• Desirable Expertise: Knowledge of pricing exotic options and fitting market data is highly valued but not mandatory.

Base salary: $200,000 plus a competitive bonus and comprehensive benefits package.

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