Senior Quant Developer

Responsibilities

• Strategy Implementation & Production: Translate quantitative researchers' models and signals into robust, high-performance production code (Python & C++). Own the entire deployment pipeline, including real-time risk checks, exchange connectivity, and performance monitoring.
• System Architecture & Optimization: Design, develop, and maintain core components of low-latency trading infrastructure, data pipelines, and backtesting platform. Identify and eliminate performance bottlenecks across the entire stack.
• Full Lifecycle Ownership: Take end-to-end responsibility for live trading strategies, including pre-trade validation, real-time troubleshooting, post-trade analysis, and continuous optimization.
• Research Partnership: Collaborate closely with quant researchers to build and improve scalable research tools, simulation frameworks, and analysis libraries that accelerate the research cycle. <...