Quantitative Researcher
Almanak's mission is to enable fully permissionless access to sophisticated financial strategies by leveraging decentralized financial infrastructure (blockchain) and democratizing access to advanced intelligence (AI). The team is seeking a talented Quantitative Researcher to join Almanak's R&D Strategies team. In this role, you'll research, develop, and implement crypto trading and asset management strategies utilizing Almanak's infrastructure.
Candidate Profile
Design & implement crypto trading strategies
Conduct statistical analysis and data mining on large datasets
Perform backtesting and optimization of trading strategies
Collaborate with traders and developers to implement and refine models
Continuously monitor and enhance the performance of trading strategies
Research and develop new signals, risk models, and more efficient techniques for optimization and execution
Compensation & Perks
Minimum of three years of experience in Python programming, with a strong emphasis on data science libraries
Demonstrated expertise in statistical modeling and machine learning applied to practical scenarios
Proven experience in developing and optimizing algorithmic trading systems
Hands-on knowledge of DeFi and blockchain interactions, preferably with EVM-based protocols
Understanding of traditional financial markets is an 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
Experience with Solidity or Vyper is a plus