AXQ Capital
AXQ Capital is an investment management firm that employs systematic strategies and aims to generate consistent alpha in global markets. We are a team of passionate quants and technologists dedicated to applying scientific approaches and cutting-edge technologies to the field of quantitative research.
We maintain offices in New York, Beijing, Shanghai, and Xiamen.
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!
#J-18808-Ljbffr
We maintain offices in New York, Beijing, Shanghai, and Xiamen.
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!
#J-18808-Ljbffr