Teams at Tower Research Capital

Develop Python tools and full-stack workflows with quantitative researchers to evaluate and improve systematic trading strategies. Iterate rapidly on research processes, strengthen trading strategy performance, and gain exposure to large-scale systems, workflow orchestration, and production-grade software engineering in a collaborative quantitative finance environment.

Design and build a scalable, reliable ML research platform supporting large-scale experimentation, distributed GPU training, experiment tracking, model/version/ artifact management, data pipelines, observability, and resource scheduling across HPC and multi-cloud environments while partnering with quantitative researchers.

Assist the regional risk team in enhancing risk models, developing data visualization tools, and documenting internship work for future improvements.