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Schonfeld
New York, New York

2026 Quantitative Developer Execution Services Sophomore Summer Internship

$50,000 – $55,000/yrVisa SponsorshipPosted 1 week agoLinkedIn
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About this role

The Role

The Execution Services team is seeking a quantitative-development summer intern dedicated to improving execution with large-language-model (LLM) technology. You will design prototype analytics systems, data pipelines, and human-in-the-loop tools that:

  • Improve information access to execution policies, procedures, and desk knowledge
  • Accelerate post-trade analysis and execution-quality reviews

The ideal candidate has a solid foundation in mathematics, computer science, and machine learning; demonstrates research-level rigor; and has hands-on experience building LLM-based tools.

What You'll Do

  • Information Access & Knowledge Retrieval

    • Build GenAI systems over execution-related documents, procedures, and guidelines.
    • Design embedding and vector-search pipelines to support accurate, context-aware Q&A.
    • Ensure outputs are grounded, traceable, and explainable, with clear links to source material.
    • Conduct evaluations to monitor and track retrieval accuracy, precision, and overall reliability.

  • Analysis Acceleration & Insight Generation

    • Develop GenAI tools to summarize and analyze execution reports and post-trade data.
    • Help build workflows that enable users to (a) review execution outcomes more efficiently and (b) identify anomalies or patterns for human investigation.
    • Apply statistical and numerical reasoning to assess output consistency and robustness.

  • Documentation & Explainability

    • Generate clear, high-quality documentation to support best-execution decisions.
    • Translate structured system outputs into well-formed, human-readable explanations.
    • Help standardize documentation templates and improve clarity and consistency.

What We are Looking For

  • Rising junior pursuing a B.S. in Computer Science, Mathematics, Engineering or related field.
  • Solid Python skills (Pandas, NumPy).
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.).
  • Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Claude Code).
  • Comfortable working with high-dimensional data; basic data-analysis background.
  • Independent, research-oriented mindset with strong written documentation skills.
  • Bonus: KDBQ development experience.

Our Internship

Kick-start your career in finance with the Schonfeld Summer Internship! Over the course of 10 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.