Position: Special Projects Developer Intern (Summer 2027)
Location: New York, NY
Firm Overview:
Walleye Capital is a ~$17 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.
What you'd do
- Support the team in translating high-level strategic objectives into structured project plans and executable workflows.
- Contribute to greenfield projects throughout the development lifecycle, including research, scoping, prototyping, testing, and implementation.
- Build and enhance internal AI-native tools, user-facing applications, automations, and processes.
- Act as an internal technological consultant/liaison to teams across the firm to understand business needs, gather domain expertise, and help advance cross-functional initiatives.
- Potential to contribute to executive-facing technology solutions.
- Are pursuing an undergraduate or non-MBA master’s degree in computer science, engineering, or a related field, with an expected graduation date between December 2027 and June 2028.
- Showcase excellent communication and problem-solving skills, an ability to collaborate with both technical and non-technical audiences, intellectual curiosity, and comfort working through ambiguous problems.
- Are a proactive self-starter with demonstrated leadership ability, strong ownership mentality, and the initiative to move projects forward independently.
- Demonstrate exceptional quantitative and analytical skills, with a strong foundation in programming (specifically Python) and a passion for technological innovation; familiarity with SQL and/or NoSQL databases and API development is a plus.
- Leverage AI tools to enhance productivity, drive efficiency, and improve workflows; hold experience integrating AI services, including LLMs or APIs, into academic, research, internship, or personal projects.