英屬開曼群島商繹勝科技有限公司台灣分公司

Qualifications: - Familiar with/interest in financial microstructure data analysis. - Familiar with C++ on Linux or Unix-like platforms and Object-Oriented programming/ design patterns is preferred - Past experiences in quantitative/numeric research in Mathematics, Statistics, Computer Science, Physics, or a related STEM field; ML MODEL (XGBoost) Plus: - Experience with Linux or Unix-like manipulation. - Knowledge of database/SQL and version control tools. - Knowledge of computer systems, multi-threading, network, and performance optimization. Responsibility: - Develop new or improve existing trading models using in-house platforms - Use advanced mathematical techniques to model and predict market movements - Analyse large financial datasets to identify trading opportunities - Provide real-time analytical support to experienced traders

Qualifications: - Academic background or strong interest in financial market microstructure data analysis - Proficiency in Python or similar programming languages - Educational background in Statistics, Mathematics, Computer Science, Physics, or related STEM fields - Fundamental understanding of quantitative research methodologies and lightGBM, XGBoost or any machine learning packages Preferred Qualifications: - Experience with C++ on Linux or Unix-like platforms - Knowledge of database management and SQL operations - Familiarity with version control systems (Git) - Research competencies and experience Responsibilities: - Assist in developing and enhancing existing trading models and strategies - Support financial data analysis and market research projects - Provide analytical support to experienced traders and researchers

Qualifications: - Familiar with/interest in financial microstrucuture date analysis. - Familiar with C++ on Linux or Unix-like platforms and Object-Oriented programming/ design patterns is preferred Plus: - Experience with Linux or Unix-like manipulation. - Knowledge of database/SQL and version control tools. - Knowledge of computer systems, multi-threading, network, and performance optimization. Responsibility: - Design and develop high-frequency trading strategies. - Microstructure/HFT related research.

Qualifications: - Knowledge of client-server architectures and network design. - Knowledge of NAT, PAT, PBR and L2 protocols. - Knowledge of WAN, LAN and datacenter network architectures. - Knowledge of network design, network operation or network automation - Experience with multicast configuration. - Experience with Firewall technology and VPN technology. - Knowledge of Unix or Linux - Knowledge of datacenter installation and cabling standards Plus: - Experience with Linux or Unix-like manipulation. - Experience with bash shell scripting or Python scripting. - Systems administration experience Responsibility: - Working with traders to add or modify network connectivity to financial exchanges - Troubleshoot and analyze network-related performance issues - Taking part in the design of networks for new offices and data centres - Finding low latency solutions for existing networks - Provide network support for production, office, and end-user environments - Perform moves, adds, and changes in the network - Perform market connectivity tests and circuit migrations - Assist with datacenter migrations from time-to-time - Liaising with third parties to maintain communication lines and data centre infrastructure - Coordinate with remote hand technicians to troubleshoot network or hardware issues and provide break/fix resolution for our data centres globally.

Qualifications: - Experience with C++ on Linux or Unix-like platforms and familiar with Object-Oriented programming/ design pattern. - Experience with Linux or Unix-like manipulation. - Experience with bash shell scripting or python scripting. - Knowledge of database/SQL and version control tools. - Understanding of computer system, multi-threading, network and performance optimization. Plus: - Strong understanding of algorithms and data structures. - Experience with developing low latency systems. Responsibility: - Create tools to deploy, monitor and analyze trading strategies. - Improve legacy code in terms of maintainability, CPU, memory. - Come up with solutions for various engineering problems. - Design and develop high-frequency trading strategies.