Quantitative Developer Intern

About the Company

Walleye Capital is a ~$16 billion+ multi-strategy investment firm specializing in Quant, Fundamental Equities, and Volatility strategies. The Quantic team is Walleye’s principal quantitative investment business, leveraging advanced statistical modeling to capitalize on profitable trading opportunities in global equities, options, and futures.

Responsibilities

• Develop and deploy quantitative infrastructure supporting alpha generation, portfolio construction, and algorithmic trading
• Design and manage data pipelines and triage data integrity quality
• Partner with traders and researchers to develop and iterate on proprietary trading strategies and alphas
• Build reporting and analysis tools for strategy risk, trade cost, and execution
• Utilize coding skills and leverage AI tools to oversee and improve automated trading systems

Requirements

• Pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field
• Expected graduation date between December 2027 and June 2028
• Proficiency in a scripting language such as Python, Bash, or Perl
• Experience in UNIX, Linux, or BSD environments
• Familiarity with machine learning/deep learning/statistical packages like scikit-learn, TensorFlow, or PyTorch
• Strong quantitative and analytical skills

Benefits

• $20,000 monthly pay
• $10,000 housing stipend
• Transportation to and from Boston (domestic travel only)