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Quantitative Researcher Intern (Summer 2026)

About the Role:
American Credit, a boutique high frequency trading firm, is seeking a talented Quantitative Researcher Intern for Summer 2026. As an intern, you will work closely with our experienced team to design, implement, and test quantitative trading strategies using advanced mathematical and statistical methods. You’ll gain hands-on experience in quantitative finance and have the opportunity to make a real impact on our trading operations. Outstanding interns may receive a full-time return offer upon successful completion of the program. Dates of the internship are somewhat flexible.

Responsibilities:

Collaborate with researchers and developers to formulate and test trading strategies and algorithms.

Analyze large datasets and apply statistical, mathematical, and computational techniques to real-world financial problems.

Develop research tools and prototypes in C++ and Python.

Present findings and recommendations to the team.

Requirements:

Currently pursuing a Bachelor’s, Master’s, or PhD in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.

Demonstrated programming ability in both C++ and Python.

Strong background in mathematics, statistics, or physics, with proven problem-solving skills.

Intellectual curiosity, attention to detail, and a passion for applying quantitative methods to complex problems.

Ability to work full-time in-person in Cambridge, MA during Summer 2026.

Preferred:

Prior research experience or participation in mathematical or programming competitions.

Experience working with large datasets or in a research-driven environment.

Interest in financial markets or quantitative trading (no prior finance experience required).

What We Offer:

Mentorship from experienced quantitative researchers and technologists.

Exposure to the fast-paced world of high frequency trading.

A collaborative, intellectually stimulating environment.

Competitive compensation.

The potential for a full-time return offer based on performance.