Job Description
We are seeking a Quantitative Trading Strategist to lead the research, design, and implementation of trading strategies. This role covers the full lifecycle from strategy logic definition to live trading execution. The ideal candidate will combine financial market expertise with strong programming skills to develop innovative trading solutions.
Key Responsibilities
- Conduct research, design, and engineering implementation of trading strategies covering the complete workflow from logic definition to live deployment
- Develop and maintain strategy backtesting frameworks, performing parameter optimization, out-of-sample validation, and live trading performance analysis
- Explore applications of LLM (Large Language Models) in trading strategies and collaborate with engineering teams to iterate AI-powered strategy execution systems
- Build supporting engineering components including data processing pipelines, feature engineering modules, and risk management systems
- Monitor live strategy performance, analyze trading metrics, identify issues, and implement continuous improvements
Job Requirements
- Essential Qualifications:
- Proven experience in trading strategy development with solid understanding of research methodologies (backtesting, factor analysis, risk management)
- Practical trading experience in cryptocurrency, US equities, commodities or related markets
- Strong Python programming skills with experience in data processing, analysis, or financial modeling
- Proficiency with AI programming tools (Claude Code, Codex, etc.) to enhance development efficiency
- Understanding of on-chain asset market mechanisms and familiarity with major derivatives exchange products and matching logic
- Preferred Qualifications:
- Experience managing live trading strategies with real capital
- Knowledge of LLM/AI Agent implementation with experience in Prompt Engineering or AI system development
- Experience with exchange API integration, order execution systems, or market data processing
- Familiarity with backend technologies like FastAPI, PostgreSQL, and message queues
- Rust or Go programming experience
Benefits
- Direct involvement in core strategy and system architecture decision-making
- Fast iteration cycles with immediate feedback from live trading performance
- Lean team structure with transparent information flow and short decision chains
- Competitive compensation package (negotiable based on experience)
Application
To apply, please send your resume and a brief description of your strategy/project experience (explaining your approach) to [email protected]
