Remote Quantitative Researcher

Summary

The job is for a Quantitative Researcher at Almanak Blockchain Labs, a data science company specializing in AI-driven web3. The role involves creating and implementing trading strategies using quantitative models, collaborating with traders and developers, and continuously improving the performance of these strategies.

Requirements

• Min. Three years of experience in Python programming, with a strong emphasis on data science libraries
• Demonstrated expertise in statistical modeling and machine learning applied 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 test and validate trading models against historical data
• Ability to design and manage strategies for arbitrage and market-making

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

Preferred Qualifications

Experience with Solidity or Vyper is a plus

Benefits

• Competitive compensation, consisting of either fiat/crypto remuneration and an equity package in the core Almanak holding + bonuses
• Flexible schedule & remote work: You can work remotely and manage your time independently
• Co-working space, gear, and education budgets: The company will invest in your comfort at work and in your personal growth
• Impact: You’ll work with some of the smartest people in the space and play a pivotal role in influencing the way some of the most popular crypto applications are built