DRW operates a global trading operation spanning equities, derivatives, and other asset classes across microsecond to multi-year horizons. The tech stack—Python, C++, FPGA, Kafka, and low-latency databases (Redis, PostgreSQL, Oracle)—reflects a firm optimizing for both rapid execution and research-grade analytics. Active adoption of FPGA, RAG, and MLOps suggests a shift toward hardware-accelerated trading signals and AI-driven research, while the engineering-heavy hiring mix (83 roles) paired with acute pain points around onboarding, uptime, and production scalability indicates internal focus on automating desk workflows and reducing operational friction at scale.
DRW is a Chicago-based proprietary trading firm that identifies and executes trading opportunities across global markets, asset classes, and time horizons. The firm combines quantitative research, technology infrastructure, and risk management to compete in liquid and derivatives markets. With 1,001–5,000 employees, DRW operates production trading platforms, real-time pricing pipelines, and a central trading platform; current project work includes unified platform consolidation, trade capture automation, and an AI-powered research and analytics layer. The firm hires across engineering, operations, research, and finance roles in eight countries (United States, United Kingdom, Israel, Netherlands, Canada, Singapore, France, and China).
Python, C++, R, MATLAB, SQL, Linux, Docker, Kubernetes, Kafka, Redis, RabbitMQ, PostgreSQL, Oracle, and FPGA/Xilinx for hardware-accelerated trading logic. The firm is actively adopting MLOps and RAG for research automation.
DRW actively hires in eight countries: United States, United Kingdom, Israel, Netherlands, Canada, Singapore, France, and China, with the largest presence in Chicago headquarters.
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