Quantitative Researcher

vor 1 Woche

Berlin, Berlin, Deutschland Almanak Vollzeit
About Almanak Blockchain Labs

Almanak Blockchain Labs is a pioneering data science and research-oriented company dedicated to unlocking the full potential of AI-driven web3 technologies.

Our team is comprised of experts from renowned companies such as Uber, Morgan Stanley, Delphi Digital, and DBS, working together to develop a cutting-edge, permissionless E2E platform for building, training, optimizing, and deploying autonomous web3 financial agents.

We are driven by a culture centered around the disciplined pursuit of knowledge, meritocracy, impact on our partners' businesses, and data-backed performance.

Job Summary

We are seeking a talented Quantitative Researcher to join our R&D and Enterprise Trading Team at Almanak Blockchain Labs.

In this role, you will be at the forefront of AI agent applications in crypto trading, creating and implementing quantitative models for trading strategies.

Key Responsibilities
  • Design and Implement Quantitative Models: Develop and implement advanced quantitative models for trading strategies, leveraging your expertise in statistical modeling and machine learning.
  • Conduct Statistical Analysis and Data Mining: Conduct in-depth statistical analysis and data mining on large datasets to inform trading decisions.
  • Back-Testing and Optimization: Perform rigorous back-testing and optimization of trading strategies to ensure their effectiveness and efficiency.
  • Collaboration and Communication: Collaborate with traders and developers to implement and refine models, ensuring seamless communication and coordination.
  • Performance Monitoring and Improvement: Continuously monitor and improve the performance of trading strategies, identifying areas for enhancement and implementing changes as needed.
  • Research and Development: Research and create new signals, risk models, and techniques for optimization and execution, staying at the forefront of AI agent applications in crypto trading.
Requirements
  • 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.
  • 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.
  • Experience with Solidity or Vyper is a plus.
What We Offer
  • Competitive Compensation: Receive competitive compensation, consisting of either fiat/crypto remuneration and an equity package in the core Almanak holding, plus bonuses.
  • Flexible Schedule and Remote Work: Work remotely and manage your time independently, with the flexibility to work from a place that suits your needs.
  • Co-Working Space, Gear, and Education Budgets: Enjoy a co-working space, gear, and education budgets to support your comfort and personal growth.
  • Impact and Opportunity: Contribute to the development of cutting-edge AI-driven web3 technologies and play a pivotal role in shaping the future of crypto trading.

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