Volatility Trading Developer Full Time - Walleye Capital Internships

Firm Overview

Walleye Capital is a $17 billion+ multi-strategy investment firm headquartered in New York City, with 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.

Volatility Trading Developer

The Equity Volatility business is currently seeking a Developer to join in New York. The Developer will work closely with Volatility traders, software developers, quants, and operational teams to develop and optimize tools for managing intraday trading inputs, enhance real-time risk monitoring systems, automate trading processes, and support critical daily trading operations.

Responsibilities:

• Partner closely with traders to 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.
• Modernize legacy systems across risk, P&L, operations, execution, and trading system monitoring to improve reliability, scalability, and performance.
• Diagnose and resolve issues across trading, quantitative, and risk systems.

Qualifications:

• Bachelor’s degree in Mathematics, Computer Science, Engineering, or a related quantitative field.
• Strong programming proficiency in Python, Java, or C++.
• Experience with SQL or other database languages a plus.
• Proven ability to diagnose complex technical issues, identify root causes, and implement durable, scalable solutions.
• Excellent analytical and problem-solving skills, with a proactive, collaborative, and trader-focused mindset.
• Strong communication skills, with the ability to operate effectively in high-impact, high-leverage situations.