Almanak is a company aiming to democratize access to high-performance asset management through AI agents. The rails (chains) are here. Now it's time to give people carts.
The team is developing an E2E platform for building, optimizing, and deploying robust & autonomous DeFi strategies.
Our culture is centered around the disciplined pursuit of knowledge, meritocracy, impact on our partners' businesses, and data-backed performance.
If You want to be judged by your impact, and you're looking for a place where you'll grow 100x, this is it.
We are a collective of executives and technologists from companies such as Robinhood, Kraken, Morgan Stanley, CERN, Delphi Digital, Layer Zero, DBS Bank.
We are backed by some of the top VCs in the space such as Delphi Labs, Hashkey, RockawayX, Bankless, Matrix Partners, Appworks and others.
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.
For more information about Almanak Technology and Ecosystem, please visit almanak.co and check out the Almanak Litepaper and Almanak Token Economy Paper.
Responsibilities: • 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.
- 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.
- Compensation: You’ll receive competitive compensation, consisting of either fiat/crypto remuneration and token packages. Also, please check the Token Economy Paper to learn how you can benefit from contributing to the Almanak Ecosystem.
- Flexible schedule & remote work: You can work remotely and manage your time independently. We want you to work from a place that makes you happiest and contributes the most to your overall well-being!
- Co-working space, gear, and education budgets: The company will invest in your workplace comfort and personal growth.
- Impact: You’ll work with some of the smartest people in the space and play a pivotal role in shaping how some of the most popular crypto x AI applications are built.