Description
Jump Trading Group is seeking a research scientist to apply machine learning to complex quantitative research and trading problems, taking projects from concept to production and improving ML models, tools, and infrastructure. The role involves working closely with traders, quants, and researchers to build reusable financial ML frameworks, optimize training on HPC resources, integrate models into low-latency production systems, and use languages such as Python, C++, CUDA, and related GPU tools. Candidates should have strong ML research credentials, programming skills, familiarity with modern deep learning frameworks, and the ability to collaborate effectively in a fast-paced, highly technical environment.
