Job description
Key Responsibilities
- Product Planning and Design: Responsible for the functional design and full lifecycle management of trading-related modules such as market data, candlestick charts, spot trading, derivatives, and options.
- Liquidity and Matching Optimization: Deeply involved in optimizing the matching engine, order book, and Smart Routing to enhance market depth and reduce trading latency.
- Risk Control and Asset Settlement: Design and optimize trading risk control algorithms, including but not limited to maintaining margin, tiered liquidation mechanisms, Portfolio Margin, and settlement systems.
- Data-Driven Iteration: Monitor core metrics such as trading volume, active users, churn rate, and system latency, continuously optimizing trading paths and product interactions through data analysis.
- Cross-Department Collaboration: Work closely with the quantitative team, risk control team, compliance team, and technical development to ensure efficient product launch while meeting compliance requirements.
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Job Requirements
- Work Experience: Over 3 years of experience as a product manager in cryptocurrency exchanges, traditional brokerages, stock, forex, or derivatives platforms, with a preference for those with high-frequency trading (HFT) system or institutional product experience.
- Core Hard Skills:
- Proficient in order lifecycle management (limit orders/market orders/conditional orders, iceberg orders, etc. types and status transitions).
- Deep understanding of clearing, settlement, and margin mechanisms (e.g., Unified Trading Account UTA, isolated/cross-currency margin).
- Familiar with API trading ecosystems (REST/WebSocket) and able to communicate technical requirements smoothly with institutional clients or market makers.
- Soft Skills and Language: Strong ability to handle pressure and logical reasoning skills; fluent in both Chinese and English, capable of using both as working languages.
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💡 Preferred Qualifications
- Background in quantitative-related fields such as financial engineering, mathematics, or computer science.
- Familiar with the application of AI technology in trading analysis, intelligent risk control, or automated trading strategies.
- Deep understanding of cutting-edge fields such as CeDeFi (centralized-decentralized finance integration) or RWA (real-world assets).