Crypto Trading Analyst (Research-Focused)
SendingLabs
- Việt Nam
- Lâu dài
- Toàn thời gian
- Competitive compensation (salary + research/performance bonuses).
- Work at the intersection of crypto trading, AI, and quantitative research.
- Access to advanced tools and unique datasets.
- Growth and learning opportunities with a leading-edge research team.
- Monitor cryptocurrency markets and macro events to identify trading opportunities and risks.
- Conduct quantitative and qualitative research on digital assets, protocols, and market trends.
- Analyze on-chain and off-chain data (e.g., wallet flows, order books, social sentiment) to generate actionable insights.
- Backtest, benchmark, and evaluate trading strategies using historical and real-time data.
- Prepare regular trading and research reports for internal and external stakeholders.
- Support the automation of data collection, annotation, and reporting processes.
- Stay up-to-date with the latest industry developments, research papers, and emerging trends in crypto trading and AI/data science.
- Label, validate, and manage trading-related datasets for model training and evaluation (e.g., event impact, price movement, market sentiment, on-chain activity, and more).
- Bachelor’s or Master’s degree in a quantitative or technical field (Finance, Data Science, Computer Science, Engineering, Mathematics, Economics, or related).
- Experience in research, data analysis, or trading roles (crypto/DeFi/Web3 experience is a plus).
- Proven experience working with datasets—data labeling, annotation, or dataset curation (ideally in trading, finance, or AI/ML context).
- Proficiency with data analysis and scripting tools (Python, R, SQL, etc.).
- Strong understanding of digital assets, financial markets, and blockchain technology.
- Familiarity with on-chain analytics tools and crypto data APIs.
- Excellent attention to detail, critical thinking, and ability to work independently in a fast-paced research environment.
- Bonus: Quantitative trading, knowledge of machine learning workflows, model evaluation.
- Flexible working options
- Fantastic work culture
- A role that offers a breadth of learning opportunities