Archon Labs - Data Scientist
At a glance
Mid-level Data Science role at deCircle. Remote, Germany · full-time · no salary stated · we estimate €90,000–€115,000 across Germany.
deCircle has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build AI models for financial risk, liquidity forecasts and market analysis
- Use symbolic reasoning and agentic AI to support decisions in DeFi
- Team up with engineers and researchers to develop AI tools for finance
- Process large financial datasets and check model accuracy and efficiency
- Adapt Basel II/III risk methods for DeFi and promote AI-based financial analysis and automation
What you bring
- Strong experience in data science, AI or quantitative finance
- A background in financial markets, risk management or DeFi
- Proficiency with Python, TensorFlow, PyTorch or another AI framework
- You can explain complex data findings to teams across functions
Who this fits
This role suits a data scientist with financial knowledge who wants to apply AI in decentralized finance. Prior DeFi experience is optional.
From the employer
Archon Labs is looking for a Data Scientist with experience in financial markets or DeFi to help drive AI innovation in decentralized finance. You will work on cutting-edge AI applications, from liquidity risk management to market prediction models, applying both traditional and modern AI techniques. While prior DeFi experience is not required, you should be eager to apply your financial knowledge to this rapidly evolving space.
Responsibilities:
Develop AI-driven financial models for risk management, liquidity prediction, and market analysis.
Work with symbolic AI, logical reasoning, and agentic AI to improve DeFi decision-making.
Collaborate with engineers and researchers on cutting-edge AI tools for finance.
Analyze and process large financial datasets, ensuring AI model accuracy and efficiency.
Adapt traditional Basel II/III risk management frameworks to DeFi environments.
Drive adoption of AI tools for financial analysis and automation.
Strong experience in data science, AI, or quantitative finance.
Background in financial markets, risk management, or DeFi.
Expertise in Python, TensorFlow, PyTorch, or other AI frameworks.
Familiarity with blockchain data and DeFi protocols (preferred but not required).
Ability to communicate complex data insights to cross-functional teams.
Nice to Have:
Knowledge of smart contracts, blockchain analytics, and DeFi governance.
Experience in machine learning model deployment and optimization.
Prior work in quantitative trading, risk analysis, or financial AI applications.