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Head of Crypto Quant Trading

$ 10,000 - $ 15,000 / month


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Responsibilities

  1. Algorithm Design and Optimization: Can design and optimize high-frequency trading algorithms to handle large-scale market data.
  2. 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.
  3. Risk Management and Optimization: Proficient in portfolio management and risk control techniques, with the ability to optimize strategies for a better risk-return ratio.
  4. 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.
  5. 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.
  6. 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.
  7. Mathematics and Statistics: Proficient in probability theory, statistical inference, and time series analysis, capable of analyzing market volatility and building models.
  8. 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