Exchange Sector, Liquidity Development Engineer / Liquidity Development Specialist

1. Liquidity Management:

Design and implement automated liquidity management tools to ensure market depth and liquidity.

Analyze order book status, optimize matching engines and pricing algorithms.

Monitor and maintain price stability for market trading pairs, reducing slippage and bid-ask spreads.

2. Algorithm Development:

Develop and optimize market-making algorithms, such as price tracking, order book strategies, and arbitrage strategies.

Design dynamic liquidity allocation schemes to support multiple trading pairs or complex trading scenarios.

Implement high-frequency trading algorithms to enhance system response speed and trading efficiency.

3. Data Analysis:

Collect and analyze market data, including trading volume, liquidity distribution, and market depth.

Establish a data metrics monitoring system to identify abnormal behaviors in real-time (such as large orders or price manipulation).

Provide quantitative support for business decision-making.

4. Technical Implementation:

Design high-performance trading and matching systems that support low latency and high throughput.

Optimize databases, memory management, and network communication to support large-scale concurrent trading.

Collaborate with blockchain development teams to integrate on-chain data and contract functionalities.

5. System Stability:

Maintain high availability of liquidity-related systems and monitor for performance bottlenecks.

Respond quickly to and resolve liquidity anomalies in the production environment.

1 year or more of relevant work experience.

1. Programming skills:

Proficient in C++ or Java.

Experience in high-performance computing, capable of optimizing low-latency programs.

2. Finance and algorithms:

In-depth understanding of order book mechanics, market modeling, and matching principles.

Familiar with market maker algorithms (such as VWAP, TWAP) and risk hedging strategies.

Understanding of liquidity risk and pricing mechanisms in financial markets.

3. Databases and distributed systems:

Familiar with MySQL, PostgreSQL, or NoSQL databases.

Knowledge of middleware such as Redis and Kafka, able to support real-time data processing.

4. Quantitative analysis and data processing:

Experience in quantitative strategy development or large-scale data processing.

Proficient in data analysis tools such as Pandas and NumPy.

5. System design:

Able to design high-performance, scalable trading and risk control systems.

Familiar with multithreading, multiprocessing development, and distributed architecture.

Preferred qualifications:

Experience in cryptocurrency exchanges or traditional financial institutions.

Familiar with blockchain smart contract development (e.g., Solidity, Rust).

Understanding of DeFi protocols (e.g., Uniswap, Curve) and AMM models.

Familiar with low-latency trading system design.

Experience in high-frequency trading system development.