Quantitative Researcher (Client Solutions Lead)
Tasks
- Collect feedback during live market hours and iterate daily
- Create few shot exemplars from historical market events
- Define event priority classification
- Develop system prompt library
- Document discovery and onboarding methodology
- Evaluate AI output quality
- Flag systematic errors and replace weak exemplars
- Map research workflows and data sources
- Run research process discovery for clients
- Set AI alert signal thresholds
- Translate discovery into AI prompts exemplars and configurations
- Validate training data candidates in feedback pipeline
Perks/Benefits
Skills/Tech-stack
Crypto Trading | Crypto market analysis | CryptoQuant | Data Analysis | Dune | Glassnode | LLM | Language Processing | Machine Learning | Market Analysis | Nansen | Natural Language | Natural Language Processing | On-chain analytics | Prompt engineering | Python
Education
N/A
Roles
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