
Data Analyst Trader
1 week ago
This role offers hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets. You will work closely with other researchers, engineers, and product managers, reporting directly to the Head of Research.
The primary responsibilities include conducting research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure. Additionally, you will develop and backtest algorithmic trading strategies using quantitative methods and collaborate with engineers to integrate research into production trading systems.
Main Responsibilities:
- Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.
- Develop and backtest algorithmic trading strategies using quantitative methods.
- Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.
- Create reports and visualizations to communicate findings to stakeholders.
- Collaborate with engineers to integrate research into production trading systems.
Requirements:
- Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Mathematics, Econometrics, Computational Finance, Physics).
- Strong foundation in mathematics, statistics, or econometrics (e.g., probability, linear algebra, calculus).
- Programming experience in Python, R, MATLAB, or related tools.
- Familiarity with cryptocurrency markets and trading concepts.
- Experience with data libraries such as pandas, numpy, scipy, and statistical modeling techniques.
- Interest in time series analysis and algorithmic trading strategies.
- Strong analytical and problem-solving skills.
- Clear communication and ability to present research findings effectively.
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