
Digital Asset Trader
2 days ago
Job Title:
Quantitative Trading Specialist
Job Overview:Our organization seeks an experienced Quantitative Trading Specialist with a strong background in trading, market microstructure, and quantitative methods.
This role will offer hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.
Quantitative Trading Specialists will work closely with other researchers, engineers, and product managers and report directly to the Head of Research.
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.
Success Factors:
We are looking for passionate, motivated individuals who are eager to learn and grow within a dynamic startup environment. Here are a few attributes of a successful candidate:
- Curiosity and Resourcefulness: Our team thrives in a fast-paced environment where natural aptitude, individual capability, and resourcefulness are valued.
- Team Player: We believe in building strong, talented teams. As a Quantitative Trading Specialist, you'll have the opportunity to learn from those around you and contribute to a high-performing team.
- Integrity and Growth Mindset: We're looking for individuals who defend their positions with passion, but also maintain a bias toward 'doing right' rather than 'being right.'
Qualifications (not mandatory):
A 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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