Crypto Quantitative Strategy Researcher

7 days ago


Singapore BIRICH INTERNATIONAL PTE. LTD. Full time
Roles & Responsibilities

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.

Tell employers what skills you have

Construction
Data Analysis
Algorithmic Trading
Cryptography
Risk Management
Cryptographic Key Management
Trading Strategies
Python
Rust
C++

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