Walleyecapital External Students

Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Boston, MA · Intern · Internship

Sponsorship not specifiedDetected 51 days ago

PythonMachine LearningData AnalysisLLMsStatisticsResearchCollaborationProblem Solving

About the role

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 Quant, Fundamental Equities, and Volatility strategies.
Walleye Capital is seeking highly quantitative and creative PhD Quantitative Researcher Interns to work in the rapidly growing Quantic team based out of Boston.

Research, design, and test predictive signals, data sets, and systematic trading strategies.
Design and implement scalable code across various stages of the investment process.

Are 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.
Possess strong programming skills-particularly in Python or R-and hold experience working with large datasets, APIs, or databases.

The expected monthly pay for this position is $20,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from Boston (domestic travel only).
The deadline to apply for this opportunity is Friday, October 30 at 11:59pm ET. For questions about the process, please review our Campus FAQs.
Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you.
Personal data you provide will be processed in accordance with

Develop machine learning models to predict patterns in asset returns, risks, trading costs, or other portfolio-relevant variables.
Demonstrate rigorous analytical thinking, statistical modeling abilities, and familiarity with techniques from machine learning, optimization, or time-series analysis.

We are seeking talented researchers to help elevate our capabilities and join us on this journey.
We are seeking students with strong technical backgrounds (e.g., mathematics, statistics, computer science, or engineering), demonstrated initiative, and an interest in quantitative trading and research.

Walleye is an equal opportunity employer.
If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.

This listing is sourced directly from Walleyecapital External Students's careers page and normalized into a canonical job model.