Quantitative trader

Quantitative Trading (Paid) - Go Quant Technologies Inc. About Us Go Quant develops solutions that make life easier and more profitable for digital asset traders and researchers. We do so primarily by increasing transparency, boosting speed, and placing decisions in the hands of users. We currently offer two solutions: Go Market and Go Trade. Go Market is a subscription service that delivers low-latency digital asset data via Web Socket. Features include a unified querying language that allows users to easily bypass exchange-specific protocols to access data. Go Trade is a trade execution platform that allows clients to trade digital assets—using multiple interfaces (Rest API, UI, Web Socket, 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 Go Quant team as we onboard clients and rapidly build out our solutions to meet their needs. Job Description: We are looking for a Quantitative Trader with experience or a strong interest 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 Traders 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. 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: Go Quant is a startup where natural aptitude, individual capability, and resourcefulness thrive. Team Player: We believe in building strong, talented teams. As a Quantitative Trader, 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): 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 position, please apply Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., Linked In). Go Quant Technologies Incorporated is an Equal Opportunity Employer. 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.