Quantitative Researcher
vor 1 Monat
Almanak Blockchain Labs is a pioneering data science and research-oriented company dedicated to pushing the boundaries of AI-driven web3 innovation.
Our team is developing a cutting-edge, permissionless E2E platform for building, training, optimizing, and deploying autonomous web3 financial agents.
We're a collective of visionary executives and technologists from top companies like Uber, Morgan Stanley, Delphi Digital, and DBS, united by a shared passion for knowledge and impact.
Key Responsibilities:- Design and implement sophisticated quantitative models for trading strategies.
- Conduct in-depth statistical analysis and data mining on large datasets to drive business insights.
- Perform rigorous back-testing and optimization of trading strategies to ensure maximum performance.
- Collaborate with traders and developers to implement and refine models, driving business growth and innovation.
- Continuously monitor and improve the performance of trading strategies, staying ahead of the curve in AI-driven web3.
- Minimum 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, with a focus on DeFi and blockchain interactions.
- Practical knowledge 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.
- Experience with Solidity or Vyper is a plus.
- Competitive compensation, consisting of either fiat/crypto remuneration and an equity package in the core Almanak holding + bonuses.
- Flexible schedule and remote work options, allowing you to work from a place that suits your needs.
- Co-working space, gear, and education budgets to support your growth and well-being.
- The opportunity to work with a talented team and contribute to the development of AI-driven web3 solutions.
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