Summer quantitative trading intern supporting commodities and capital markets through quantitative research and production-grade predictive models. The role develops deep learning, neural network, and large language model applications in PyTorch using large datasets to support trading strategies involving futures, options, and structured products. Responsibilities include model development, quantitative investment strategy support, stakeholder presentations, and collaboration with a lead strategist in an in-person trading environment.