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.

Quantic – Quantitative Developer Intern (Summer 2027)

Responsibilities

Qualification

Required

Company

Walleyecapital External Students

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