<p>We are seeking an AI Research Engineer to build AI-driven systems that accelerate alpha discovery for a systematic quantitative hedge fund. This role focuses on leveraging advanced AI coding tools (e.g., Claude Code and other LLM-based agents) to design automated research workflows that generate new data variables, predictive signals, and systematic trading strategies.</p> <p>You will operate at the intersection of quantitative research, machine learning, and AI-augmented development - building scalable systems that materially increase research velocity and idea quality.</p> <p>Responsibilities</p> <ul> <li>Design AI-assisted research pipelines for data ingestion, feature engineering, alpha generation, and backtesting. </li><li>Build agentic workflows that autonomously explore datasets and propose candidate signals. </li><li>Rapidly prototype and evaluate systematic strategies with robust validation frameworks. </li><li>Improve research efficiency by integrating AI coding agents into the quant workflow. </li><li>Partner with researchers and PMs to transition validated alphas into production-ready implementations. </li></ul>