Job Responsibilities: Implement and maintain strategy models, while improving strategy backtesting 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.
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Job Type
Full-time
Career Level
Entry Level