Volatility Trading Developer Intern Summer 2027 - Walleye Capital Internships

Position: Volatility Trading Developer Intern (Summer 2027)

Location: New York, NY

Firm Overview:

Walleye Capital is a ~$16 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. 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.

Position Overview:

Walleye Capital is seeking Volatility Trading Developer Interns for Summer 2027 to support the Equity Volatility business. As an intern, you’ll work closely with Volatility traders, software developers, quants, and operational teams to help develop and optimize tools that support daily trading operations and infrastructure. You’ll tackle real-world challenges, help ideate and design creative solutions, and learn how a volatility trading business functions from end-to-end. This internship offers the opportunity to enhance your skill set through hands-on, high-impact projects and direct mentorship.

The internship is 10 weeks in length and will take place in New York City from June to August 2027.

Responsibilities:

• Collaborate with traders to help implement and scale trading strategies, build bespoke datasets, automate execution workflows, and develop tools that integrate trading signals into the execution stack.
• Design and maintain tools supporting daily trading inputs, including earnings, dividends, interest rates, and quant model parameters; design and manage critical trade lifecycle processes, including Early Exercise and Expiration workflows.
• Assist in modernizing legacy systems across risk, P&L, operations, execution, and trading system monitoring to improve reliability, scalability, and performance.
• Explore the financial and technical context of project work through research and inquiry, ensuring design decisions reflect the real-world domain.
• Utilize AI to drive efficiency, enhance processes, and improve workflows.

We seek individuals who: