A new startup with headquater in Singapore.
Cryptocurrency analysts need to master skills in multiple areas in order to be able to effectively conduct digital asset trading and strategy development.
1.*Programming skills*: - Proficient in using Python, Rust, C++, Java or other programming languages, especially Python because it is very popular in data processing and quantitative trading.

• Familiar with function libraries and tools related to quantitative trading, such as Pandas, Num Py, scikit-learn, Tensor Flow, etc.

2. *Data Analysis and Modeling*: - Master the basics of data analysis, data visualization and statistics to understand market data and extract useful information.

• Familiar with machine learning and deep learning models, and able to apply these models for prediction, classification and other tasks.

3. *Quantitative trading algorithm*: - Familiar with basic quantitative trading strategies (such as trend following, mean reversion, momentum strategies, etc.) and able to develop and test these strategies.

• Able to design and optimize high-frequency trading algorithms and process large-scale market data.

4. *Financial knowledge*: - Have a deep understanding of the virtual currency market and traditional financial markets, including market mechanisms, asset pricing models, risk management, etc.

• Familiar with blockchain technology and its application in virtual currencies.

5. *Risk Management and Optimization*: - Master portfolio management and risk control techniques and be able to optimize strategies to obtain better risk-return ratios.

6. *Market Microstructure*: - Understand microstructural indicators such as market depth, bid-ask spread, liquidity, etc., especially in the highly volatile virtual currency market, this information is crucial for strategy execution.

7. *Automated trading system development*: - Able to build automated trading systems and be familiar with API docking, strategy execution, data collection and order management. - Ability to handle low-latency, concurrent transactions.

8. *Blockchain and smart contracts*: - Understand how blockchain works and be able to analyze blockchain data and identify on-chain patterns. - Familiar with smart contract writing, especially in the field of decentralized finance (De Fi).

9. *Mathematics and Statistics*: - Proficient in mathematical foundations such as probability theory, statistical inference, and time series analysis, and able to analyze market fluctuations and build models.

10. *Multi-tasking and real-time monitoring*:

• Able to process data from multiple markets and multiple time frames, monitor and adjust strategies in real time.The combination of the above skills can help virtual currency quantitative researchers gain an advantage in a highly competitive and rapidly changing market.