2026 Quantitative Developer Execution… at Schonfeld · New York

Summary: Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. The Execution Services team is seeking a quantitative-development summer intern dedicated to improving execution with large-language-model technology by designing prototype analytics systems, data pipelines, and human-in-the-loop tools. Responsibilities: - 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 - 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 - 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 Required Qualifications: - 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 Preferred Qualifications: - KDBQ development experience Required Skills: Python, LLM APIs, Data analysis Important Skills: AI-assisted coding tools Nice-to-Have Skills: Research-oriented mindset, High-dimensional data, KDBQ development, Documentation skills Internship Start Date: Start in 2026 Summer