Data-Driven Trading Professional

About GoQuant

We develop cutting-edge solutions that empower digital asset traders and researchers to make informed decisions with ease and confidence. Our primary focus is on increasing transparency, accelerating speed, and placing control in the hands of users.

We currently offer two innovative solutions: GoMarket and GoTrade. GoMarket is a subscription service that delivers high-frequency digital asset data via WebSocket. Key features include a unified querying language that enables users to seamlessly 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.) to rapidly interact and trade with cryptocurrency exchanges.

Our infrastructure is built with performance, flexibility, and reliability in mind, leveraging technologies across Python, C++, and cloud-based systems.

This is an exciting time for the team as we onboard clients and rapidly build out our solutions to meet their needs.

Job Description:

We are seeking a highly motivated Quantitative Trading Intern with experience or a strong interest in trading, market microstructure, and quantitative methods. This internship will provide hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.

Interns will collaborate 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.

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 interns who are eager to learn and grow within a dynamic environment. Here are a few attributes of a successful candidate:
• Curiosity and Resourcefulness: We thrive in a startup culture where individual capability and resourcefulness shine.
• 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.
• Integrity and Growth Mindset: We're looking for interns who defend their positions with passion, but also maintain a bias toward 'doing right' rather than 'being right.'

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.

How to Apply:

If you're interested in this internship position, please apply through our platform. Candidates who may not meet all the qualification criteria are still encouraged to apply. We're looking for passionate, eager learners who are excited about the project at hand.