Job Responsibilities: - Implement and maintain strategy models, while improving strategy back testing frameworks; - Develop quantitative research toolchains; - Maintain quantitative databases and develop strategy monitoring & risk analysis tools; - Deploy strategy code and optimize execution logic. Qualifications: - Bachelor's degree or higher in Computer Science, Financial Engineering, or related technical fields; - 1-3 years of professional programming experience in production environments; - Proficient in C++ or Python programming languages; - Familiarity with modern data engineering ecosystems is a plus; - Prior experience handling financial data preferred; - Quantitative research/trading experience preferred; - Ability to think critically, rapidly, and rigorously; - Effective communicator with strong teamwork mindset; - Self-motivated and thrives in fast-paced environments.