Quantitative Researcher

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Requirements:

• Minimum three years of experience in Python programming, emphasizing data science libraries.
• Demonstrated expertise in statistical modeling and machine learning in practical scenarios.
• Proven experience in developing and optimizing algorithmic trading systems.
• Practical knowledge in DeFi and blockchain interactions, preferably with Ethereum protocols.
• Understanding of traditional financial markets is a significant advantage.
• Experience with backtesting libraries to validate trading models against historical data.
• Ability to design and manage strategies for arbitrage and market-making.
• Experience with Solidity or Vyper is a plus.

Responsibilities:

• Design & implement quantitative models for trading strategies.
• Conduct statistical analysis and data mining on large datasets.
• Perform back-testing and optimization of trading strategies.
• Collaborate with traders and developers to implement and refine models.
• Continuously monitor and improve the performance of trading strategies.
• Research and create new signals, new risk models, and more efficient techniques for optimization & execution.