Quantitative Analyst, Equity Volatility
Quick Summary
Model development: Build and maintain pricing and analytics tools for a variety of volatility products. Technical support: Provide front-line support for users of the available tools and models.
Education: Master’s degree or Ph.D. in quantitative fields such as Finance, Mathematics, Statistics, Physics, or Engineering.
Firm Overview
Walleye Capital is a $16 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.
Quantitative Analyst - Equity Volatility
We are seeking an experienced Quantitative Analyst 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.
Responsibilities:
- Model development: Build and maintain pricing and analytics tools for a variety of volatility products.
- Technical support: Provide front-line support for users of the available tools and models.
- Data analysis: Utilize and extend rich data sets to identify further improvements.
Qualifications:
- Education: Master’s degree or Ph.D. in quantitative fields such as Finance, Mathematics, Statistics, Physics, or Engineering.
- Experience: ~ 8+ years of direct experience with derivative pricing models, preferably in a high performance trading environment.
- Proficiency in financial modeling and quantitative analysis, particularly related to equity derivatives.
- Experience with programming languages such as Python, R, Java, or C+.
- Strong analytical skills and the ability to work with complex data sets.
- Excellent problem-solving abilities and attention to detail.
- Desirable Expertise: Knowledge of pricing exotic options and fitting market data is highly valued but not mandatory.
Base salary: $250,000 plus a competitive bonus and comprehensive benefits package.
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
Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/
Location & Eligibility
Listing Details
- Posted
- July 30, 2026
- First seen
- July 30, 2026
- Last seen
- July 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- July 30, 2026
Signal breakdown
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