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Quantic – Quantitative Developer Intern; Summer Boston, MA

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Walleye Capital, LLC
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-06-10
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Quantic – Quantitative Developer Intern (Summer 2027) Boston, MA

Quantic – Quantitative Developer Intern (Summer 2027)

Position
:
Quantic – Quantitative Developer Intern (Summer 2027)

Firm Overview

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 grown into a global investment firm specializing in Quant, Fundamental Equities, and Volatility strategies.

Team Overview

The Quantic team, based in Boston, is Walleye’s principal quantitative investment business. Established in 2016, it has evolved into one of the most successful trading teams in the industry, focused on statistical modeling to capitalize on profitable opportunities in global equities, options, and futures.

Position Overview

As a Quantic Intern, you will work directly with experienced team members on meaningful projects that impact trading strategies and operations. You will develop your skills in a dynamic setting where innovation, teamwork, and talent drive success. The internship lasts 10 weeks in Boston from June to August 2027.

Responsibilities

  • Develop and deploy quantitative infrastructure supporting alpha generation, portfolio construction, and algorithmic trading.
  • Design and manage data pipelines; ensure data integrity, quality, 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.
  • Use coding skills and AI tools to oversee and improve automated trading systems.

Qualifications

  • Pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field, expected to graduate between December 2027 and June 2028.
  • Strong quantitative and analytical skills, proficient in a scripting language (Python/Bash/Perl) and experienced in UNIX/Linux/BSD environments.
  • Familiarity with machine learning/deep learning/statistical packages (scikit‑learn, Tensor Flow, PyTorch, etc.).
  • Self‑starter who enjoys tackling complex, open‑ended problems and can work independently and collaboratively.
  • Genuine interest in financial markets, systematic investing, AI/LLM applications, and using technology in dynamic, data‑rich environments.
  • Creative and enthusiastic about leveraging AI tools to enhance productivity, improve processes, and generate investment alpha.
  • Thrives in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range

The expected monthly pay for this position is  20,000/month. Interns also receive a  10,000 housing stipend and transportation to and from Boston (domestic travel only).

Final date to receive applications

The Final date to receive applications for this opportunity is Friday, July 31 at 11:59 pm ET.

EEO Statement

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

Contact Information

For questions about the process, please review our Campus FAQs.

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