Quantitative Researcher

Posted 15 Hours Ago
Be an Early Applicant
Germany
Mid level
Artificial Intelligence • Fintech • Software • Analytics • Financial Services • Web3
The Role
The Quantitative Researcher at Almanak Blockchain Labs will create and implement quantitative models for trading strategies, conduct statistical analysis on large datasets, perform back-testing, collaborate with traders and developers, and improve trading strategies continuously.
Summary Generated by Built In

Description

Almanak Blockchain Labs is a data science and research-oriented company dedicated to understanding and designing the next generation of AI-driven web3.

The team is developing a permissionless E2E platform for building, training, optimizing, and deploying autonomous web3 financial agents.

Our culture is centered around the disciplined pursuit of knowledge, meritocracy, impact on our partners' businesses, and data-backed performance. We are a collective of executives and technologists from companies such as Uber, Morgan Stanley, Delphi Digital, and DBS.

The team seeks a talented Quantitative Researcher to join Almanak's R&D and Enterprise Trading Team.

In this role, you'll create and implement quantitative models for trading strategies and be at the forefront of AI agent applications in crypto trading.

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.
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.
  • Experience with Solidity or Vyper is a plus.
Benefits
  • Compensation: You’ll receive 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. We want you to work from a place that makes you the happiest and contributes the most to your overall well-being!
  • 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.

Top Skills

Python
The Company
HQ: Zurich
15 Employees
On-site Workplace
Year Founded: 2022

What We Do

Almanak is a financial engineering platform that utilizes AI-driven agents in Defi.

Our dedicated data intelligence informs:

1. Optimization of the risk/reward ratio across portfolios
2. Strategy design, testing, and optimization.
3. Risk management and monitoring of the assets.
4. Positions Hedging.

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