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.