Quantic - PhD Quantitative Researcher Intern (Summer 2027)

As a Quantic Intern, you’ll work directly with experienced team members on meaningful projects that impact trading strategies and operations.

You’ll have the opportunity to work on high-impact initiatives and develop your skills in a dynamic setting where innovation, teamwork, and talent drive success.

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.

Successful interns are curious, collaborative, and eager to tackle complex problems in a fast-paced, supportive environment.

The internship is 10 weeks in length and will take place in Boston from June to August 2027.

• 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.

We seek individuals who:

• 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.
• Demonstrate rigorous analytical thinking, statistical modeling abilities, and familiarity with techniques from machine learning, optimization, or time-series analysis.
• Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team.
• Exhibit a genuine interest in financial markets, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments.
• Showcase 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.

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.

Walleye is an equal opportunity employer.

Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com .

Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/ .