Crypto Quantitative Strategy Researcher
7 days ago
Responsibilities
1. Programming Skills:
① Proficient in Python, Rust, C++, Java, or other programming languages, especially Python.
② Familiar with libraries and tools related to quantitative trading, such as Pandas, NumPy, sci-kit-learn, TensorFlow, etc.
2. Data Analysis and Modeling:
① Skilled in data analysis, data visualization, and basic statistics to understand market data and extract useful information.
② Familiar with machine learning and deep learning models and capable of applying these models for tasks like prediction and classification.
3. Quantitative Trading Algorithms:
① Familiar with fundamental quantitative trading strategies (e.g., trend following, mean reversion, momentum strategies) and able to develop and test these strategies.
② Capable of designing and optimizing high-frequency trading algorithms and handling large-scale market data.
4. Financial Knowledge:
① Deep understanding of the cryptocurrency market and traditional financial markets, including market mechanisms, asset pricing models, and risk management.
② Knowledgeable about blockchain technology and its applications in cryptocurrency.
5. Risk Management and Optimization:
① Skilled in portfolio management and risk control techniques to optimize strategies for a better risk-return ratio.
6. Market Microstructure:
① Understanding of microstructure indicators such as market depth, bid-ask spread, and liquidity.
7. Automated Trading System Development:
① Capable of building automated trading systems, familiar with API integration, strategy execution, data collection, and order management.
② Competent in handling low-latency and concurrent trading.
8. Blockchain and Smart Contracts:
① Understanding of blockchain principles, able to analyze blockchain data and identify on-chain patterns.
② Proficient in smart contract development, especially in decentralized finance (DeFi).
9. Mathematics and Statistics:
① Proficient in probability theory, statistical inference, and time series analysis, with the ability to analyze market volatility and build models.
10. Multitasking and Real-Time Monitoring:
① Capable of handling data from multiple markets and time frames, conducting real-time monitoring, and adjusting strategies accordingly.
Construction
Data Analysis
Algorithmic Trading
Cryptography
Risk Management
Cryptographic Key Management
Trading Strategies
Python
Rust
C++
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