Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Walleye Capital is a multi-strategy investment firm specializing in quantitative and fundamental equities. They are seeking PhD Quantitative Researcher Interns to engage in data analysis, portfolio optimization, and the development of automated trading systems.

What you'll do:

• Research, design, and test predictive signals, data sets, and systematic trading strategies
• Extract and analyze large datasets from structured and unstructured sources, applying advanced statistical and computational methods
• Enhance research infrastructure and tools for trading, risk management and attribution
• Develop machine learning models to predict patterns in asset returns, risks, trading costs, or other portfolio-relevant variables
• Design and implement scalable code across various stages of the investment process
• Work in Python and/or R, with opportunities to contribute to research tools and libraries
• Leverage AI tools including LLM-based analytical pipelines to enhance processes and analyses

What they're looking for:

• Pursuing a PhD degree in computer science, engineering, statistics, operations research, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028
• Strong programming skills—particularly in Python or R—and experience working with large datasets, APIs, or databases
• Demonstrated rigorous analytical thinking, statistical modeling abilities, and familiarity with techniques from machine learning, optimization, or time-series analysis
• Self-starter who enjoys digging into complex, open-ended problems and can work both independently and collaboratively with a team
• Genuine interest in financial markets, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments
• Creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha
• Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning

Benefits:

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