Highlights:

1. AI Quant Trading
2. Ph.D holder is highly desirable
3. Attractive Package

1. Lead the architectural design, evaluation, and deployment of enterprise-grade AI, Machine Learning, and GenAI frameworks tailored for financial market applications.
2. Architect and optimize high-throughput, low-latency infrastructure for quantitative trading, algorithmic execution, and real-time risk management systems
3. Drive the full software development lifecycle (SDLC)—from system analysis and high-performance computing design to rigorous testing and problem-solving for mission-critical systems.
4. Establish, champion, and enforce engineering best practices, robust coding standards, and scalable frameworks to ensure institutional-grade deliverables

Requirements:

1. Ph.D.in Computer Science, Artificial Intelligence, Quantitative Finance, Mathematics, or a highly relevant quantitative discipline.
2. Minimum 5–7 years of hands-on system design and architecture experience within global markets, quantitative trading, or top-tier financial technology domains.
3. Deep expertise in high-performance back-end development (expert-level Java/Java EE, Spring Boot, and ideally C++ or Pythonfor data science/quant applications).
4. Deep expertise in high-performance back-end development (expert-level Java/Java EE, Spring Boot, and ideally C++ or Pythonfor data science/quant applications).
5. Excellent command of English and Chinese (including fluent Putonghua)

Action Now

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