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–€100,000 across Germany.
deCircle has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Build AI models for financial risk, liquidity forecasts and market analysis
- Apply symbolic, reasoning-based and agent-style AI to support DeFi decisions
- Work with engineering and research colleagues on AI finance tools
- Prepare large financial datasets and check models for accuracy and efficiency
- Translate Basel II/III risk approaches for use in DeFi settings
What you bring
- Strong experience in data science, AI or quantitative finance
- A background in financial markets, risk management or decentralized finance
- Proficiency in Python and AI frameworks such as TensorFlow or PyTorch
- You can explain complex data findings to teams across different functions
Who this fits
This role suits a data scientist with financial knowledge who wants to apply AI to decentralized finance; previous DeFi work is optional. The position is listed as remote and based in Berlin, Germany.
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.
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