Quantitative Trading Intern
2 days ago
GoQuant develops solutions that make life easier and more profitable for digital asset traders and researchers. GoMarket is a subscription service that delivers low-latency digital asset data via WebSocket. Features include a unified querying language that allows users to easily bypass exchange-specific protocols to access data. GoTrade is a trade execution platform that allows clients to trade digital assets—using multiple interfaces (Rest API, UI, WebSocket, Redis, etc.) Our infrastructure is built with performance, flexibility, and reliability in mind, leveraging technologies across Python, C++, and cloud-based systems.
We are looking for a Quantitative Trading Intern with experience or a strong interest in trading, market microstructure, and quantitative methods. This internship will offer hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.
Interns will work closely with other researchers, engineers, and product managers and report directly to the Head of Research. This is a great opportunity to gain practical experience in the fast-paced world of fintech and cryptocurrency trading.
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.
We are looking for passionate, motivated interns who are eager to learn and grow within a dynamic startup environment. Team Player: We believe in building strong, talented teams. As an intern, you'll have the opportunity to learn from those around you and contribute to a high-performing team.
We're looking for interns who defend their positions with passion, but also maintain a bias toward ‘doing right’ rather than ‘being right.’
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., 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.
Clear communication and ability to present research findings effectively.
If you’re interested in this internship position, please apply We are looking for passionate, eager learners who are excited about the project at hand.
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All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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