Quantitative Developer

AXQ Capital is a investment management firm that employ systematic strategies and aims to generate consistent alpha in global markets. We are a group of passionate quants and technologists dedicated to applying scientific approaches and cutting-edge technologies to the field of quantitative research. Job Duties Collaborate closely with other teams to provide solutions for strategy research, systematic trading, and risk management Build low-latency systems to process multiple data streams in real time Research and apply cutting-edge technology models to improve machine-learning training and prediction Continuously optimize the research platform, low-latency trading infrastructure, and risk-control systems Leverage cloud services to enhance dynamic resource management solutions Qualifications Bachelor’s degree or above in Computer Science, Natural Sciences, Engineering, or Financial Mathematics from a top-tier university Proficient in Python; familiarity with Go or C++ is a plus Experienced with data-processing libraries such as NumPy and Pandas Comfortable working in Linux and writing shell scripts Strong understanding of computer networking, data structures, and algorithms Excellent communication and coordination skills, meticulous and detail-oriented Prior work or internship experience in quantitative investing Awards in national or international Olympiads (Mathematics, Physics, Computer Science) Join AXQ to build state-of-the-art systems and drive the next generation of quantitative trading! Apply for this job

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