【About Us】
We are a leading quantitative trading firm and liquidity provider dedicated to delivering superior risk-adjusted returns. Our trading models have stood the test of time by combining comprehensive mathematical analysis, extensive financial market knowledge, and cutting-edge artificial intelligence technology solutions. We are pioneers in systematic decision-making, algorithmic execution, and active risk management. Our team consists of experienced professionals from top investment banks (such as Morgan Stanley/Merrill Lynch (Bank of America)/UBS/Macquarie) and graduates with outstanding academic backgrounds from institutions like London School of Economics/Oxford University/Nanyang Technological University/National University of Singapore.
【Position Overview】
We are seeking an experienced C++ Engineer (High-Frequency Trading Focus) to join our core technology team. This role is pivotal in developing and optimizing low-latency, high-performance trading systems that power our high-frequency trading strategies. You will work closely with AI and machine learning teams to continuously enhance the performance and reliability of live trading execution systems.
【Responsibilities】
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Join the company’s core development team to build, optimize, and maintain high-frequency trading strategy systems.
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Provide stable and efficient technical support and API services for the reinforcement learning strategy team.
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Establish market data connections with major global financial exchanges and develop high-performance data processing and computation modules.
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Build and refine broker connectivity for order execution, ensuring low latency, low coupling, high performance, and modular system design.
【Requirements】
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Bachelor’s degree or above in Computer Science, Information Technology, Telecommunications, or related fields.
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5+ years of experience in C++ development, with a background in low-latency systems.
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Proficient in Linux; experience in Linux Kernel tuning is a plus.
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Familiarity with data structures and algorithms commonly used in high-frequency trading.
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Experience with message queues (e.g., Kafka), caching systems (e.g., Redis), and time-series databases (e.g., kdb+).
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Experience with Bloomberg BPIPE is a strong plus.
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Experience in machine learning or reinforcement learning projects is a plus.
【Core Technical Skills】
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Mastery of C++, especially in performance optimization, multithreading, and memory management.
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Proficiency in network programming and I/O models; understanding of common network protocol stacks.
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Familiar with market data ingestion and order execution workflows; knowledge of the FIX protocol is a plus.
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Strong modular programming and system architecture design capabilities.
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Able to perform under pressure, independently analyze, and quickly troubleshoot complex issues.
【Bonus Skills】
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Familiarity with BPIPE integration and secondary development.
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Hands-on experience with Kafka, Redis, kdb+, or similar technologies.
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Experience deploying AI models or quantitative trading algorithms.
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Knowledge of compliance requirements and deployment standards in financial trading systems.
【Technology Stack】
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Programming Languages: C++ (primary), Python (for tools/scripting).
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Operating System: Linux.
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Communication Protocols: TCP/UDP, Multicast, FIX.
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Middleware & Databases: Kafka, Redis, kdb+.
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Tools & Version Control: Git, CMake, GDB, Perf, Valgrind.
【Soft Skills】
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Strong logical thinking and clean coding habits.
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Excellent communication and teamwork skills.
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High sense of responsibility, results-driven, and eager to tackle system-level optimization.
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Self-motivated with a passion for continuous learning.
【Benefits】
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Option to work remotely within Malaysia & Spain & Barbados – up to 100% if desired; with the option to work abroad up to 25 days yearly.
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Competitive base salary plus bonus.
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A flat organizational structure with a positive team spirit.
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Multiple company-sponsored overseas trips each year.
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Various leisure activities including sports, board games, and more.
【Location】
Singapore/Johor Bahru/Shenzhen/Hongkong/London/Calgary