1. Execute daily quantitative trading strategies across global markets, ensuring timely, accurate, and compliant order fulfillment.
2. Monitor trading systems and infrastructure in real-time, responding swiftly to resolve intraday anomalies.
3. Conduct comprehensive post-trade analysis, including P&L attribution, transaction cost analysis, and position reconciliation.
4. Collaborate with quantitative researchers and engineering teams to continuously optimize execution algorithms, routing logic, and system performance.
5. Strictly enforce risk management protocols, dynamically manage positions and capital, and effectively identify and mitigate trading risks.

Qualifications

1. Bachelor’s degree or above in Mathematics, Computer Science, Financial Engineering, or related STEM fields.
2. 2+ years of experience in quantitative trade execution or related financial market operations.
3. Proficiency in at least one programming language (Python, C++, etc.) with basic data processing and system troubleshooting skills.
4. Familiarity with mainstream trading systems and financial data terminals; solid understanding of trading rules across various asset classes (Equities, Futures, Options, etc.).
5. Strong ability to work under pressure with quick decision-making skills; highly detail-oriented and sensitive to numerical data.
6. Excellent communication and teamwork skills, with the ability to drive efficient cross-departmental collaboration