HIGGS HK TECHNOLOGY LIMITED is a leading provider of artificial intelligence solutions in the financial trading industry. In the rapidly changing capital markets, the greatest challenge lies in accurately forecasting market movements. Traditional models often fail to capture the complexity of financial markets, leading to missed trading opportunities and heightened risk. We are dedicated to helping the Chinese financial sector overcome these hurdles by delivering high-performance, AI-driven infrastructure. Our solutions empower even the most stringent traders to effectively manage diverse models and datasets within regulatory boundaries, enabling them to concentrate on deeper research and make more informed trading decisions—ultimately achieving exceptional returns. We have branches in Kuala Lumpur and Ho Chi Minh City, forming an international development team.
【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】
Kuala Lumpur, Malaysia & Ho Chi Minh City, Vietnam