
Data-Driven Market Specialist
4 days ago
Quantitative Trader Role
GoQuant seeks a skilled Quantitative Trader to leverage their expertise in trading, market microstructure, and quantitative methods. This position will offer hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.
Key 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 research reports and visualizations to communicate findings to stakeholders.
- Collaborate with engineers to integrate research into production trading systems.
- Support the development of risk management and portfolio optimization models.
Required Skills and Qualifications:
- 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)
- Familiarity with cryptocurrency markets and trading concepts
- Experience with data libraries such as pandas, numpy, scipy, and statistical modeling techniques
Benefits and Opportunities:
- Join a dynamic startup environment where innovation and collaboration thrive.
- Work closely with a team of experienced professionals who are passionate about quantitative finance.
- Enjoy a competitive compensation package and comprehensive benefits.
- Grow your skills and expertise through continuous learning and professional development.
Company Culture:
GoQuant prioritizes transparency, speed, and user empowerment in our solutions. We strive to make life easier and more profitable for digital asset traders and researchers. With an exciting time ahead, we are rapidly building out our solutions to meet client needs.
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