Job Responsibilities:

1. Implement and maintain strategy models, while improving strategy backtesting frameworks;

2. Develop quantitative research toolchains;

3. Maintain quantitative databases and develop strategy monitoring & risk analysis tools;

4. Deploy strategy code and optimize execution logic.

Qualifications:

1. Bachelor's degree or higher in Computer Science, Financial Engineering, or related technical fields;

2. 1-3 years of professional programming experience in production environments;

3. Proficient in C++ or Python programming languages;

4. Familiarity with modern data engineering ecosystems is a plus;

5. Prior experience handling financial data preferred;

6. Quantitative research/trading experience preferred;

7. Ability to think critically, rapidly, and rigorously;

8. Effective communicator with strong teamwork mindset;

9. Self-motivated and thrives in fast-paced environments.