Quantic – Quantitative Developer 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.

• Develop and deploy quantitative infrastructure supporting alpha generation, portfolio construction, and algorithmic trading.
• Design and manage data pipelines; triage data integrity quality – improving reliability, consistency, and traceability of financial datasets.
• 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 using data from a proprietary columnar database.
• Utilize coding skills and leverage AI tools to oversee and improve automated trading systems.

We seek individuals who:

• Are pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028.
• Exhibit strong quantitative and analytical skills, including proficiency in a scripting language (Python/BasH/Perl) and experience in UNIX/Linux/BSD environments.
• Demonstrate familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.).
• 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, July 31 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/ .