Provides middle-office operational support for trading desks, including trade-break resolution, reconciliations, corporate actions, locates, buy-ins, risk controls, and operational data integrity. Coordinates cross-functional projects, supports new strategies, and improves tools, workflows, dashboards, and controls. Requires broad understanding of the trade lifecycle across equities, futures, and options, strong analytical and communication skills, and experience with Excel and Bloomberg.

Build and scale production-grade AI/ML systems for quantitative research. Responsibilities include translating research prototypes into maintainable software, optimizing GPU training and inference pipelines, designing data-loading and batching infrastructure, extending research libraries for agentic workflows, and improving codebase quality, testing, and scalability. The role partners closely with machine learning researchers and requires strong Python engineering, GPU systems experience, and familiarity with modern ML frameworks and agent technologies.

Designs and maintains scalable distributed infrastructure across on-premise and public cloud environments. Evaluates emerging technologies and open-source tools, supports incident response and on-call operations, establishes platform engineering standards, and leads cross-functional initiatives from requirements through adoption. The role enables engineering and data science teams to operate research, simulation, and trading workloads efficiently and reliably.