Responsibilities
- Algorithm Design and Optimization: Can design and optimize high-frequency trading algorithms to handle large-scale market data.
- Financial Knowledge: Has an in-depth understanding of both virtual currency and traditional financial markets, including market mechanisms, asset pricing models, and risk management.
Familiar with blockchain technology and its applications in virtual currency.
- Risk Management and Optimization: Proficient in portfolio management and risk control techniques, with the ability to optimize strategies for a better risk-return ratio.
- Market Microstructure: Knowledgeable about microstructure indicators such as market depth, bid-ask spread, and liquidity, especially in highly volatile cryptocurrency markets, where these factors are crucial for strategy execution.
- Automated Trading System Development: Able to develop automated trading systems, familiar with API integration, strategy execution, data collection, and order management.
Skilled in handling low-latency and concurrent trading.
- Blockchain and Smart Contracts: Understands how blockchain operates, able to analyze blockchain data and recognize on-chain patterns.
Proficient in writing smart contracts, especially in the decentralized finance (DeFi) sector.
- Mathematics and Statistics: Proficient in probability theory, statistical inference, and time series analysis, capable of analyzing market volatility and building models.
- Multitasking and Real-Time Monitoring: Capable of handling data from multiple markets and timeframes, performing real-time monitoring, and adjusting strategies.
Combining these skills can help a cryptocurrency quantitative researcher gain a competitive advantage in a fast-changing, highly competitive market.
Requirements
1 At least 5 years of experience in quant/systematic trading
2. At least 2 years of experience in managing the quant trading team
3. Past year track record in managing the crypto investment portfolio
4. Proficiency in back-testing, simulation, and statistical techniques
5. Strong programming skills in Rust, Python C++, or Java.
6. Previous experience operating with a large amount of tick/data would be
beneficial
7. Experience in AI/machine learning is highly valued
