
AI Hedge Fund Strategist
1 week ago
We are a pioneering force in the development of AI-native ecosystems for alternative investments on the blockchain. Our next frontier is multi-agentic AI systems that collaborate autonomously to perform both market timing and stock selection.
Key Responsibilities- Prototype complex multi-agent architectures for simultaneous market timing and stock selection.
- Combine quantitative models with large language model (LLM) and agentic frameworks.
- Build proof-of-concept pipelines for market data ingestion, signal generation, and trade decisioning.
- Run backtests and forward-tests to validate prototypes against benchmarks.
- Document experiments, results, and learnings to inform production rollout.
- Collaborate with leadership and developers to transition validated prototypes into robust systems.
- Strong programming skills in Python, with experience in machine learning and AI libraries (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
- Curiosity and creativity in developing multi-agent frameworks.
- Ability to blend LLM reasoning with quantitative trading models.
- Comfort with fast prototyping and iterating quickly under uncertainty.
- Passion for financial markets, trading, or hedge fund strategies.
- Cutting-edge challenge: Develop one of the first multi-agent systems purpose-built for hedge funds.
- Immediate impact: See your prototypes influence real fund strategies.
- Fast-moving environment: Iterate without bureaucracy—decisions made in hours, not weeks.
- Growth potential: Opportunity to move into leadership or equity participation as systems scale.
This role is ideal for someone who loves to translate ideas into working prototypes, experiment with agent frameworks, and push boundaries in AI-driven finance.
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